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Journal articles on the topic 'Genetic Advance (GA)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Fernando, Achela K., and A. W. Jayawardena. "Use of a supercomputer to advance parameter optimisation using genetic algorithms." Journal of Hydroinformatics 9, no. 4 (2007): 319–29. http://dx.doi.org/10.2166/hydro.2007.006.

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Parameter optimisation is a significant but time-consuming process that is inherent in conceptual hydrological models representing rainfall–runoff processes. This study presents two modifications to achieve optimised results for a Tank Model in less computational time. Firstly, a modified genetic algorithm (GA) is developed to enhance the fitness of the population consisting of possible solutions in each generation. Then the parallel processing capabilities of an IBM 9076 SP2 computer are used to expedite implementation of the GA. A comparison of processing time between a serial IBM RS/6000 39

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Huang, Chien-Feng, Chi-Jen Hsu, Chi-Chung Chen, Bao Rong Chang, and Chen-An Li. "An Intelligent Model for Pairs Trading Using Genetic Algorithms." Computational Intelligence and Neuroscience 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/939606.

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Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results sho

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Roy, P. C., M. G. Rasul, M. A. K. Mian, and M. A. H. Molla. "GENETIC VARIABILITY OF RICE GENOTYPES (Oryza sativa L.)." Bangladesh Journal of Plant Breeding and Genetics 24, no. 2 (2011): 31–35. http://dx.doi.org/10.3329/bjpbg.v24i2.17004.

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An attempt was made to study genotypic variance, phenotypic variance, environmental variance, genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability (h2b) and genetic advance (GA) for some rice genotypes during July 2007 to January 2009 at BSMRAU campus, Gazipur 1706. Significant variations were obtained among the genotypes for all the characters studied. Considering genetic parameters high genotypic coefficient of variation (GCV) value was observed for harvest index followed by yield per hill, number of tillers per hill, number of filled grain per pa

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Elbaz, Khalid, Shui-Long Shen, Annan Zhou, Da-Jun Yuan, and Ye-Shuang Xu. "Optimization of EPB Shield Performance with Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm." Applied Sciences 9, no. 4 (2019): 780. http://dx.doi.org/10.3390/app9040780.

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The prediction of earth pressure balance (EPB) shield performance is an essential part of project scheduling and cost estimation of tunneling projects. This paper establishes an efficient multi-objective optimization model to predict the shield performance during the tunneling process. This model integrates the adaptive neuro-fuzzy inference system (ANFIS) with the genetic algorithm (GA). The hybrid model uses shield operational parameters as inputs and computes the advance rate as output. GA enhances the accuracy of ANFIS for runtime parameters tuning by multi-objective fitness function. Prio

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S. P., Ubale, Rasal P. N., Pundkar A.Y., Chaudhari S. R., Shelke P. R., and Gund M. S. "Assessment of Genetic Variability, Heritability and Genetic Advance in Wheat (Triticum aestivum L.) Genotypes under Different Sowing Dates." Journal of Advances in Biology & Biotechnology 28, no. 3 (2025): 107–19. https://doi.org/10.9734/jabb/2025/v28i32074.

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Twenty diverse wheat genotypes were evaluated for genetic variability, heritability and genetic advance under under three temperature conditions at the Research Farm of Department of Genetics and Plant Breeding, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra, India. The genotypes were grown in randomized block design and data were collected for various morpho-agronomic characters. Analysis of observed data showed that the mean squares due to treatments for all the traits in all environments were highly significant. GCV and PCV were the highest for canopy temperature depression, grain yie

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Ibarra, José Ramón Meza, Joaquın Martınez Ulloa, Luis Alfonso Moreno Pacheco, and Hugo Rodrıguez Cortes. "Altitude Controller Based on Artificial Neural Network Genetic Algorithm for a Quadcopter MAV." International Journal of Robotics and Control Systems 4, no. 4 (2024): 1862–85. https://doi.org/10.31763/ijrcs.v4i4.1582.

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Mechanical systems with high dynamic complexity often face challenges due to unmodeled uncertainties and external perturbations, making effective control difficult. Therefore, new advanced, robust, intelligent control theories have been developed through the sudden advance of computational power in recent years. In this research work, these new theories of automatic control are used, mainly based on what is currently called Artificial Intelligence (AI) algorithms, to develop a novel altitude controller based on the theory of Genetic Algorithms (GA) and Artificial Neural Networks (ANN).Theperfo

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Umar, Muhammad, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, K. S. Al-Basyouni, S. R. Mahmoud, and Yolanda Guerrero Sánchez. "An Advance Computing Numerical Heuristic of Nonlinear SIR Dengue Fever System Using the Morlet Wavelet Kernel." Journal of Healthcare Engineering 2022 (January 31, 2022): 1–14. http://dx.doi.org/10.1155/2022/9981355.

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This study is associated to solve the nonlinear SIR dengue fever system using a computational methodology by operating the neural networks based on the designed Morlet wavelet (MWNNs), global scheme as genetic algorithm (GA), and rapid local search scheme as interior-point algorithm (IPA), i.e., GA-IPA. The optimization of fitness function based on MWNNs is performed for solving the nonlinear SIR dengue fever system. This MWNNs-based fitness function is accessible using the differential system and initial conditions of the nonlinear SIR dengue fever system. The designed procedures based on the

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Alquraish, Mohammed, Khaled Ali. Abuhasel, Abdulrahman S. Alqahtani, and Mosaad Khadr. "SPI-Based Hybrid Hidden Markov–GA, ARIMA–GA, and ARIMA–GA–ANN Models for Meteorological Drought Forecasting." Sustainability 13, no. 22 (2021): 12576. http://dx.doi.org/10.3390/su132212576.

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Drought is a severe environmental disaster that results in significant social and economic damage. As such, efficient mitigation plans must rely on precise modeling and forecasting of the phenomenon. This study was designed to enhance drought forecasting through developing and evaluating the applicability of three hybrid models—the hidden Markov model–genetic algorithm (HMM–GA), the auto-regressive integrated moving average–genetic algorithm (ARIMA–GA), and a novel auto-regressive integrated moving average–genetic algorithm–ANN (ARIMA–GA–ANN)—to forecast the standard precipitation index (SPI)

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Lin, Yang-Kuei, and Chen-Hao Yen. "Genetic Algorithm for Solving the No-Wait Three-Stage Surgery Scheduling Problem." Healthcare 11, no. 5 (2023): 739. http://dx.doi.org/10.3390/healthcare11050739.

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In this research, we consider a deterministic three-stage operating room surgery scheduling problem. The three successive stages are pre-surgery, surgery, and post-surgery. The no-wait constraint is considered among the three stages. Surgeries are known in advance (elective). Multiple resources are considered throughout the surgical process: PHU (preoperative holding unit) beds in the first stage, ORs (operating rooms) in the second stage, and PACU (post-anesthesia care unit) beds in the third stage. The objective is to minimize the makespan. The makespan is defined as the maximum end time of

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Chauhan, Sugandh, Anuj Gupta, Sunil Dutt Tyagi, and Satpal Singh. "Genetic Variability, Heritability and Genetic Advance Analysis in Bread Wheat (Triticum aestivum L.) Genotypes." International Journal of Plant & Soil Science 35, no. 19 (2023): 164–72. http://dx.doi.org/10.9734/ijpss/2023/v35i193538.

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Wheat (Triticum aestivum L.) is one the most important cereal crop grown worldwide. The genetic improvement of any breeding population largely depends on the extent of genetic variability present in a crop species. In the present investigation, forty diverse bread wheat genotypes were evaluated for genetic variability, heritability, and genetic advance at the Research Farm of Kisan (PG) College, Simbhaoli, Hapur (U.P.) during rabi season 2021-22. The genotypes were grown in randomized block design with three replications and data were collected on eleven morphological characters. Analysis of v

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Pal, Sumit, Anil Kumar Singh, Akhilesh Kumar Pal, Anjana Sisodia, and Anupam Tiwari. "Studies of genetic variability, heritability and genetic advance in balsam (Impatiens balsamina L.)." Journal of Applied and Natural Science 10, no. 2 (2018): 810–12. http://dx.doi.org/10.31018/jans.v10i2.1702.

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A field experiment was carried out with 34 genotypes of Balsam (Impatiens balsamina L.) to assess the variability, heritability and genetic advance with an objective to identify superior genotypes for further crop improvement programme. The experiment was conducted during rainy season 2014 at the Horticulture Research Farm, Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi. These genotypes show significant variation at 5% level of significance for different characters under study. Highest range of variation was reported with the number of flower

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Watanabe, Kaori, Yuehang Ma, Hitoshi Kono, and Hidekazu Suzuki. "A Self-Localization Method Using a Genetic Algorithm Considered Kidnapped Problem." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 1 (2022): 32–41. http://dx.doi.org/10.20965/jaciii.2022.p0032.

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The landmark project RoboCup is a well-known international robotics challenge that aims to advance robotics and AI research, with the end goal of developing robots capable of playing a game of soccer autonomously. Self-localization is one of the important elements for an autonomous soccer playing robot because the position information of the robot becomes a determinant of strategic behavior and cooperative operation. Although local searching is accurate, the lack of global searching results in the kidnapped robot problem. Thus, we propose a self-localization method that generates the searching

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Vinay H. Keswania. "Design of an Integrated Method for Optimizing Electron Beam Lithography Using Genetic Algorithms, Particle Swarm Optimization, and Grey Wolf Optimizer." Advances in Nonlinear Variational Inequalities 27, no. 4 (2024): 434–56. http://dx.doi.org/10.52783/anvi.v27.1608.

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With the ever-increasing demands of advanced manufacturing for precise micro-and nanoscale patterning, optimization of the EBL process is in urgent need. The current optimization methods involve combinations such as GA with GWO or PSO with GWO, which are plagued by poor exploration-exploitation trade-offs and hence converge to suboptimal solutions or insufficient refinement of the solution. The above challenges are overcome by an innovative Adaptive Wolf-Driven Swarm Evolution approach, synergizing the strengths of GA, PSO, and GWO for the optimization process of EBL. The generation of a diver

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Amarasinghe, Y. P. J., D. G. C. Jeewani, A. G. H. C. Rasara, G. Wijesinghe, and R. W. Pushpakumara. "Genetic Variability Character Association and Heritability of Advanced Breeding Lines of Groundnut (<em>Arachis hypogaea</em> L.)." Journal of Agro-Technology and Rural Sciences 4, no. 1 (2024): 21–27. https://doi.org/10.4038/atrsj.v4i1.58.

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Groundnut is considered as an important cash crop especially among the poor communities in dry and intermediate zones of Sri Lanka. Crop improvement of groundnut is predominantly done using conventional breeding technologies. Therefore, understanding the genetic variability, heritability and other genetic parameters of existing genetic resources are highly useful in improving the breeding program. The genetic variability, character association and heritability of 18 groundnut genotypes which mostly consisted of advanced breeding lines developed at Grain Legumes and Oil Crops Research and Devel

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Khan, Md Mahmudul Hasan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, and Al Mamun. "Genetic Variability, Heritability, and Clustering Pattern Exploration of Bambara Groundnut (Vigna subterranea L. Verdc) Accessions for the Perfection of Yield and Yield-Related Traits." BioMed Research International 2020 (December 19, 2020): 1–31. http://dx.doi.org/10.1155/2020/2195797.

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Bambara groundnut (Vigna subterranea L. Verdc.) is considered an emerging crop for the future and known as a crop for the new millennium. The core intention of this research work was to estimate the variation of landraces of Bambara groundnut considering their 14 qualitative and 27 numerical traits, to discover the best genotype fitted in Malaysia. The findings of the ANOVA observed a highly significant variation ( p ≤ 0.01 ) for all the traits evaluated. There was a substantial variation (7.27 to 41.21%) coefficient value, and 14 out of the 27 numerical traits noted coefficient of variation C

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., JAGSHORANI. "ESTIMATION OF VARIABILITY PARAMETERS AND PATH COEFFICIENTS FOR SOME QUANTITATIVE CHARACTERS IN HILL WHEATS." Madras Agricultural Journal 82, june augest (1995): 441–44. http://dx.doi.org/10.29321/maj.10.a01227.

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Fifty hill wheats along with three checks (Kalyansona, Sonalika and VL 421) were evaluated to work out phenotypic and genotypic coefficient of variations (PCV, GCV) heritability. genetic advance (GA) and path coefficients for 12 matric traits. High estimates of PCV, GCV, heritability and GA indicated substantial genetic variability and scope for selection for grain weight/spike, 1000 grain weight, grains/spike, grain yield/plant, harvest index, biological yield/plant, spikes/plant and tillers/plant in the experimental material. There was little variability and scope for improvement through sel

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B. M., Harish, Shreedevi Badiger, Lakshmidevamma T. N., and Satish D. "Assessment of Genetic Variability for Nutrient Status in Grain and Leaves of Amaranthus Genotypes." Environment and Ecology 42, no. 2A (2024): 726–31. http://dx.doi.org/10.60151/envec/rdft7057.

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In the present investigation 18 different genotypes of amaranthus were analyzed for nutrient status and noticeable range of major nutrients were reported in leaves and grains. The phenotypic coefficient of variation and genotypic coefficient of variation was maximum for leaf color constituent b* i.e., 63.76 and 63.76 while, minimum in case of leaf moisture i.e., 6.62 and 3.03, respectively. High heritability was observed for all the traits, maximum was recorded for leaf color constituent b* (100%) and minimum was observed for leaf moisture (70.09%). High heritability (h2 = 99.19%) with high ge

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Islam, MA, SA Raffi, MA Hossain, and AK Hasan. "Analysis of genetic variability, heritability and genetic advance for yield and yield associated traits in some promising advanced lines of rice." Progressive Agriculture 26, no. 1 (2015): 26–31. http://dx.doi.org/10.3329/pa.v26i1.24511.

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A field experiment was conducted using twenty three rice genotypes including three check varieties during the period from June to December, 2013, at the Agronomy Field Laboratory, Department of Agronomy, Bangladesh Agricultural University, Mymensingh to study genetic variability, heritability and genetic advance (GA) for yield and yield associated traits in rice. The experiment was laid down in a randomized complete block design with three replications. Plant height, number of filled grains per panicle, days to 50% flowering, thousand grain weight, grain width and grain yield showed relatively

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Hoque, N., Z. Islam, F. Zarin, N. Mahmud, M. Rahman, and B. Biswas. "Analysis of genetic variability and character relationship in rice (Oryza sativa L.) seed and seedling traits." Journal of Bioscience and Agriculture Research 28, no. 02 (2021): 2389–98. http://dx.doi.org/10.18801/jbar.280221.290.

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Eight rice genotypes with different genetic backgrounds were evaluated for grain length, grain width, grain length width ratio, grain thickness, 1000 grain weight, seed germination percent, shoot length, root length and root shoot ratio. The genetic variance (δ^2 g), phenotypic variance (δ^2 p), phenotypic covariance (PCV), genotypic coefficient of variation (GCV), heritability (h_b^2), genetic advance (GA), genetic advance in percent of mean (GA %) and correlation coefficient were all calculated. The experiment was conducted using a Randomized Block Design with three replications in a control

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Akkiligunta, Poojitha, Jawaharlal Jatothu, Usha Kiran B, and Sameer Kumar C.V. "Unveiling the Sesame Germplasm- A Study of Genetic Variability for Yield (Sesamum indicum. L)." Journal of Experimental Agriculture International 46, no. 8 (2024): 693–99. http://dx.doi.org/10.9734/jeai/2024/v46i82752.

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Present study explores the genetic variability for yield (Sesamum indicum. L). The presence of variation is vital for the success of any crop improvement program. Understanding genetic parameters such as variability, heritability, and genetic advance is essential for enhancing crop breeding efforts. Ninety six sesame genotypes were evaluated in a Randomized Block Design (RBD) at ICAR- IIOR, Narkhoda farm, to determine the genetic variability, heritability and genetic advance for nine traits. Analysis of variance showed that significant variation was present in the genotypes studied. The phenot

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Sevšek, Luka, and Tomaž Pepelnjak. "Optimisation of Flexible Forming Processes Using Multilayer Perceptron Artificial Neural Networks and Genetic Algorithms: A Generalised Approach for Advanced High-Strength Steels." Materials 17, no. 22 (2024): 5459. http://dx.doi.org/10.3390/ma17225459.

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Flexibility is crucial in forming processes as it allows the production of different product shapes without changing equipment or tooling. Single-point incremental forming (SPIF) provides this flexibility, but often results in excessive sheet metal thinning. To solve this problem, a pre-forming phase can be introduced to ensure a more uniform thickness distribution. This study represents advances in this field by developing a generalised approach that uses a multilayer perceptron artificial neural network (MLP ANN) to predict thinning results from the input parameters and employs a genetic alg

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Minagawa, Koichi, Keisuke Hayabusa, M. Ridha, Kenji Amaya, and Shigeru Aoki. "Non-Destructive Inspection of Rebar Corrosion in Concrete Structures by Using BEM and GA." Advanced Materials Research 33-37 (March 2008): 1289–92. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1289.

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An inverse problem is analyzed where corrosion of rebars is detected from a small number of potential data measured at the surface of concrete structure. Because the shape and number of corrosion in rebars are not known in advance, usual inverse analysis method in which the shape and number of corroded part are assumed is not available. In this research, the genetic algorithm (GA) is employed without any assumption. The fitness in the multi-step GA is defined as the inverse of difference between experimental and numerical potential values, and is evaluated by the boundary element method (BEM).

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Dwary, Swarnendu, Pinkey Dukpa, Mohit Gaikwad, Umesh Thapa, Pushpendra Kumar, and Samima Yeasmin. "Genetic Variability, Heritability and Genetic Advance Studies in Diverse Genotypes of Tomato (Solanum lycopersicum L.)." International Journal of Plant & Soil Science 35, no. 22 (2023): 441–46. http://dx.doi.org/10.9734/ijpss/2023/v35i224152.

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The present experiment was conducted utilizing sixteen diverse genotypes of tomato in the autumn-winter season of 2022-23 for assessing the genetic variability, heritability and genetic advance for different growth, reproductive and yield attributes. Analysis of variance revealed significant differences among all the genotypes for all the characters. High degree of genetic variability was observed for all the traits that showed the traits were suitable for selection for further breeding purposes. GCV was higher than PCV for all the characters under study.High PCV accompanied by high GCV was re

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Chen, Zhi Jie, Chen Guang Zhu, and Zi Hao Zhang. "Prediction Model of Aerosol Fire Extinguishing Agent Performance Based on Combination of Genetic Algorithm and Back-Propagation Neural Network." Advanced Materials Research 989-994 (July 2014): 2629–33. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2629.

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The aerosol fire extinguishing agent is a complex pyrotechnic composition, and the extinguishing efficiency need a series of experiments to identify. A method is put forward out based on combining back-propagation neural network and genetic algorithm (BP-GA) in this paper, and then the performance of aerosol fire extinguishing agent can be predicted in advance by the formulation. In the method, back-propagation (BP) algorithm was proposed to map the complex relationship between additive components and quality indexes of formulation. The genetic algorithm was employed to optimize the BP neural

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Debnath, Dipraj, Fernando Vanegas, Sebastien Boiteau, and Felipe Gonzalez. "An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning." Drones 8, no. 7 (2024): 302. http://dx.doi.org/10.3390/drones8070302.

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In this paper, we propose an innovative approach for the path planning of Uninhabited Aerial Vehicles (UAVs) that combines an advanced Genetic Algorithm (GA) for optimising missions in advance and a geometrically based obstacle avoidance algorithm (QuickNav) for avoiding obstacles along the optimised path. The proposed approach addresses the key problem of determining an optimised trajectory for UAVs that covers multiple waypoints by enabling efficient obstacle avoidance, thus improving operational safety and efficiency. The study highlights the numerous challenges for UAV path planning by foc

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Yasmin, MM, NA Ivy, MG Rasul, and MM Hossain. "Genetic Variation of Quantitative and Quality Traits in Rice Varieties." Annals of Bangladesh Agriculture 23, no. 1 (2020): 69–77. http://dx.doi.org/10.3329/aba.v23i1.51475.

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An investigation was carried out to study the genetic parameters and character association for yield, yield attributing, quality and nutritional traits of twelve rice varieties. Analysis of variance revealed significant differences for all the traits under study indicated the presence of wide genetic variability among the genotypes. Small differences between genotypic coefficient of variation and phenotypic coefficient of variation were recorded for all the characters studied which indicated less influence of environment on these characters. High heritability coupled with high genetic advance

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Neha, Ajeet Singh, Manish Kumar Singh, et al. "Assessment of Genetic Variability, Heritability and Genetic Advance for Yield and Related Traits in Pumpkin (Cucurbita moschata Duch ex Poir)." Journal of Advances in Biology & Biotechnology 28, no. 1 (2025): 770–80. https://doi.org/10.9734/jabb/2025/v28i11932.

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A study on pumpkin genotypes was conducted at Vegetable Research Farm of Banda University of Agriculture and Technology during the 2022 Kharif season. This study aimed to assess genetic variability, genotype performance, variation coefficients, heritability, and percentage genetic advance for pumpkin genotypes. Genetic variability, heritability, and genetic advance are critical parameters in plant breeding, as they help identify traits with potential for improvement through selection. This experiment was conducted in a Randomized Block Design with three replications to evaluate 18 pumpkin geno

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YADAV, PRAMILA, DINESH KUMAR TRIPATHI, KHALID KAFEEL KHAN, and ASHOK KUMAR YADAV. "Determination of genetic variation and heritability estimates for morphological and yield traits in chickpea (Cicer arietinum) under late sown conditions." Indian Journal of Agricultural Sciences 85, no. 7 (2015): 877–82. http://dx.doi.org/10.56093/ijas.v85i7.50109.

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Genetic variability was estimated along with heritability (h2) and genetic advance (GA) among 45 genotypes of chickpea (Cicer arietinum L.). High genotypic and phenotypic coefficients of variability were observed for plant height, leaf length, leaflet length, width of leaflet, number of primary branches/plant, number of secondary branches/ plant, number of pods/plant, pod length, pod width, 100-seed weight and seed yield/plant. The differences between genotypic and phenotypic coefficient of variability was very small in all these traits indicating negligible role of environment. The characters

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Qin, Hua, Bipin K. Pandey, Yuxiang Li, et al. "Orchestration of ethylene and gibberellin signals determines primary root elongation in rice." Plant Cell 34, no. 4 (2022): 1273–88. http://dx.doi.org/10.1093/plcell/koac008.

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Abstract Primary root growth in cereal crops is fundamental for early establishment of the seedling and grain yield. In young rice (Oryza sativa) seedlings, the primary root grows rapidly for 7–10 days after germination and then stops; however, the underlying mechanism determining primary root growth is unclear. Here, we report that the interplay of ethylene and gibberellin (GA) controls the orchestrated development of the primary root in young rice seedlings. Our analyses advance the knowledge that primary root growth is maintained by higher ethylene production, which lowers bioactive GA cont

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Ghimire, Netra Hari, and Paras Mani Mahat. "Genetic Variability and Correlation Coefficients of Major Traits in Cold Tolerance Rice (Oriza sativa L.) Under Mountain Environment of Nepal." International Journal of Applied Sciences and Biotechnology 7, no. 4 (2019): 445–52. http://dx.doi.org/10.3126/ijasbt.v7i4.26922.

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This study was conducted at Agricultural Research Station (ARS), Vijayanagar, Jumla Nepal comprising fifteen genotypes of cold tolerance rice during regular rice growing season of high hill in 2015 in RCBD (Randomized Complete Block Design) with three replications to observe genetic variability, correlation, heritability, genetic advance and clustering of genotypes in relation to yield and yield associated traits and selection and advancement of early maturing, high yielding, disease resistant, and cold tolerance genotypes for high mountain area. Analysis of variance revealed that all characte

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Su, Xi, and Yulu Wang. "Photovoltaic Power Prediction Based on GA-Elman Model." Journal of Physics: Conference Series 2532, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2532/1/012016.

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Abstract Aiming at the time-varying and fluctuating characteristics of photovoltaic power output, a GA-Elman model is proposed for the short-term prediction of photovoltaic active power. This model can use the historical value of photovoltaic active power and daily meteorological information to directly forecast the active power, which is convenient for the dispatching department of the power supply bureau to obtain photovoltaic output data in advance and enhance the reliability of power supply. Firstly, the input variables of the Elman model are determined by analyzing the factors that affect

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Srinivasulu, G. B., Mukund Shiragur, A. M. Shirol, N. Basavaraja, P. M. Gangadharappa, and Pavan kumar. "Genetic Variability Studies in Crossandra (Crossandra infundibuliformis)." International Journal of Current Microbiology and Applied Sciences 12, no. 9 (2022): 318–25. http://dx.doi.org/10.20546/ijcmas.2023.1209.031.

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Studies were conducted to investigate the variability on growth, flowering, yield and quality parameters of crossandra (Crossandra undulaefolia Salisb.). The study carried out at the Department of Floriculture and Landscape Horticulture, College of Horticulture Munirabad, Koppal. The experiment was laid out in Randomised Completely Block Design (RCRD) with ten varieties/genotypes. Genetic parameters such as, Genetic advance, Genotypic variance, Phenotypic variance, Broad sense heritability, Genotypic and Phenotypic coefficient of variation (GCV, PCV), Genetic advance as per cent of mean for di

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Ahmed Tawir, Aisha, Gafar Ali Farah, Omar Abdallah bakheet, and Dagash Yaseen. M.I. "Genetic Variability and Interrelationships of Some Traits in Six Sesame (Sesamum indicum L.) Genotypes under Rainfed Conditions." Journal of Agricultural Science 4, no. 1 (2022): 81–94. http://dx.doi.org/10.52981/fajas.v4i1.2757.

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The objectives of this study was to estimate the genetic variability and association between yield and its components in six sesame genotypes widely grown in North Kordofan under rainfed conditions. The genotypes showed highly significant variation in agronomic performance for all of the studied traits except of plant height. The phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all studied traits. High PCV and GCV were recorded for biological yield and seed yield. High heritability (in a broad sense) was obtained for 1000 seed weight an

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Kumar, U., S. V. Sawant, and H. K. Yadav. "Exploring genetic variability in ethyl methane sulfonate mediated mutant population of Wagad cultivar of Gossypium herbaceum." Journal of Environmental Biology 42, no. 3 (2021): 589–96. http://dx.doi.org/10.22438/jeb/42/3/mrn-1399.

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Aim: The aim of the present study was to evaluate the genetic variability in Gossypium herbaceum (2n=2x=26) and identification of elite lines for future genetic improvement. Methodology: The seeds of G. herbaceum (cv. Wagad) was treated with 70 mM EMS to develop the mutant population. A set of 235 selected M3 mutant families were grown in a random block design (RBD). Genetic variability was evaluated for 14 agro-morphological traits. Results: ANOVA showed significant differences (P≤0.05) among the lines for all the traits. The phenotypic (PCV), genotypic coefficient of variability (GCV), herit

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Hassan, Omer Mohammed Salih, and Sagvan Ali Saleh. "Comprehensive Analysis of Recent Studies on Using Genetic Algorithms for Optimizing Solutions to the 0/1 Knapsack Problem." European Journal of Applied Science, Engineering and Technology 3, no. 2 (2025): 74–86. https://doi.org/10.59324/ejaset.2025.3(2).07.

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This study presents a comprehensive analysis of recent studies that explore the application of genetic algorithms (GAs) for optimizing solutions to the 0/1 Knapsack Problem (KP). The 0/1 Knapsack Problem, a classic combinatorial optimization challenge, involves selecting a subset of items with given weights and values to maximize the total value without exceeding a specified weight limit. Genetic algorithms, inspired by the principles of natural selection and genetics, have emerged as a powerful heuristic for tackling this NP-hard problem. Our review synthesizes findings from contemporary rese

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Hassan, Omer Mohammed Salih, and Sagvan Ali Saleh. "Comprehensive Analysis of Recent Studies on Using Genetic Algorithms for Optimizing Solutions to the 0/1 Knapsack Problem." European Journal of Applied Science, Engineering and Technology 3, no. 2 (2025): 74–86. https://doi.org/10.59324/ejaset.2025.3(2).07.

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This study presents a comprehensive analysis of recent studies that explore the application of genetic algorithms (GAs) for optimizing solutions to the 0/1 Knapsack Problem (KP). The 0/1 Knapsack Problem, a classic combinatorial optimization challenge, involves selecting a subset of items with given weights and values to maximize the total value without exceeding a specified weight limit. Genetic algorithms, inspired by the principles of natural selection and genetics, have emerged as a powerful heuristic for tackling this NP-hard problem. Our review synthesizes findings from contemporary rese

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Abderrahmane, Tamali, Tamali Mohammed, and Amardjia Nourredine. "An adaptive genetic algorithm for the optimization of multi-mobile robot collaboration." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e6270. http://dx.doi.org/10.54021/seesv5n2-064.

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The proposed approach utilizes the Robot Operating System (ROS) to simulate multi-robot collaboration across various scenarios, ensuring rigorous testing and validation of the algorithm. Our simulation environment encompasses complex tasks such as 3D digitalization, which demand precise coordination and efficient resource management among robots. The adaptive genetic algorithm (GA) continuously adjusts its parameters to improve performance, making it highly suitable for dynamic and unpredictable environments. Our results demonstrate that the adaptive GA significantly enhances the efficiency an

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Addissu, Gebre Ayele. "HERITABILITY AND GENETIC ADVANCE IN RECOMBINANT INBRED LINES FOR DROUGHT TOLERANCE AND OTHER RELATED TRAITS IN SORGHUM (Sorghum bicolor)." Continental J. Agricultural Science 5, no. 1 (2011): 1–9. https://doi.org/10.5281/zenodo.839951.

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Recombinant inbred lines (RILs) of the sorghum cross N13 x E36-1 were evaluated for thirteen quantitative traits at University of Agricultural Sciences, Dharwad, India during 2007/08 post rainy season. The objectives of the experiment were to estimate the genetic coefficient of variation (GCV), heritability and genetic advance expected from selection. Highly significant differences were obtained among the RILs for all traits studied. Grain yield, stay green traits, panicle exertion and number of spikelets per head showed a relatively high GCV and PCV (21–34%). Comparatively high heritability (

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Chandrawati, C., Neha Singh, Kumar Yadav, Rajendra Kumar, Sujit Kumar, and Hemant Yadav. "Genetic variability and interrelationship among morphological and yield traits in linseed (Linum usitatissimum L.)." Genetika 48, no. 3 (2016): 881–92. http://dx.doi.org/10.2298/gensr1603881c.

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Fifty eight genotypes of linseed (Linum usitatissimum L.) were evaluated two consecutive years for variability and other genetic parameters based on various traits. Substantial amount of genetic variations were observed with low influence of environment indicated consistence performance of the genotypes. High heritability, GCV, PCV and GA was observed for number of branches/plant, number of capsules/plant, days to 50% flowering and capsule weight/plant. Oil content showed high heritability with low genetic advance indicating non-additive genetic behavior. Positive and significant correlations

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Kumar, Pradeep, Gyanendra Singh, Sarvan Kumar, Anuj Kumar, and Ashish Ojha. "Genetic analysis of grain yield and its contributing traits for their implications in improvement of bread wheat cultivars." Journal of Applied and Natural Science 8, no. 1 (2016): 350–57. http://dx.doi.org/10.31018/jans.v8i1.799.

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Genetic analysis was carried out in 55 genotypes (10 parents and 45 F1s) through diallel mating design excluding reciprocals in bread wheat. Analysis of variance showed appreciable variability among the breeding material for almost all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was found for flag leaf area (PCV=18.82, GCV=17.74), biological yield (PCV=12.98, GCV=11.70), grain yield (PCV=11.90, GCV=10.39) and harvest index (PCV=10.39, GCV=10.05). Highest heritability with highest genetic advance was estimat

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Mgbemena, Stanley Onyebuchi, Muhammad Khatibsyarbini, and Adham Mohd Isa. "An Enhancement of Coverage-Based Test Case Prioritization Technique Using Hybrid Genetic Algorithm." International Journal of Innovative Computing 15, no. 1 (2025): 109–17. https://doi.org/10.11113/ijic.v15n1.545.

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Test Case Prioritization plays a defining role in regression testing by optimizing the ordering of test case execution for early fault detection. This ensures that modifications to the code do not adversely affect existing functionalities. TCP is considered an effective approach in regression testing that optimizes test execution by ordering test cases according to a criterion. While previous research works are based on a single criterion using Genetic or Cuckoo search to solve optimization problems in TCP, these single metrics limit their effectiveness. This study proposes a novel hybrid evol

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Wu, Jing Jing. "Using a Hybrid Genetic Algorithm to Minimize the Number of Tardy Jobs in the Flow Shop." Advanced Materials Research 201-203 (February 2011): 1070–74. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1070.

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Numerous real-world problems relating to flow shops scheduling are complex. The main problem is that the solution space is very large and therefore the set of feasible solutions cannot be enumerated one by one. Current approaches to solve these problems are metaheuristics techniques, which fall in two categories: population-based search and trajectory-based search. Because of their complexity, recent research has turned to genetic algorithms to address such problems. In this paper we present an effective hybrid approach based on genetic algorithm (GA) for minimizing the number of tardy jobs in

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Akpertey, Abraham, Esther Anim-Kwapong, Paul Kwasi Krah Adu-Gyamfi, and Atta Ofori. "Genetic variation among biparental Robusta coffee families and implications for variety development." Experimental Agriculture 56, no. 2 (2019): 171–82. http://dx.doi.org/10.1017/s0014479719000255.

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AbstractUnderstanding the genetic variability, heritability and genetic advance (GA) of traits in any plant population is an important pre-requisite for variety development. The objectives of the study were to assess the level of genetic variability among vegetative growth traits and yield, assess the relationship among the growth traits and yield and predict GA for the most heritable traits among Robusta coffee full-sib families. The trial was established in June 2009 at the experimental fields of the Cocoa Research Institute of Ghana with 62 full-sib families planted in a randomized complete

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Farooqkhan, Pattan, R. Ebenezer Babu Rajan, C. Praveen Sampath Kumar, and J. Sam Ruban. "Performance and Genetic Evaluation of Okra (Abelmoschus esculentus (L.) Moench) Genotypes for Agromorphological Traits." Environment and Ecology 41, no. 3D (2023): 2049–54. http://dx.doi.org/10.60151/envec/jgdj2115.

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Okra or Bhendi is a crucial vegetable farmed in India. The state of Tamil Nadu contains a smaller cultivable area and less okra production. As a result, the investigative study was conducted at Sivapuri, Chidambaram, Tamil Nadu to estimate variability metrics such as PCV, GCV, and GA% mean for crop advancement studies. The experiment involved 48 okra genotypes and 12 qualitative variables. In accordance with ANOVA, the mean sum of squares of 48 genotypes was highly significant for all parameters tested. For the twelve studied traits, values of PCV was higher than values of GCV by a little marg

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Meherbabu, Atluri, V. S. Varun Kumar, Harmeet Singh Janeja, Nilesh Talekar, and Sanjeet Singh Sandal. "Analysis of Genetic Variability, Correlation and Path for Yield and Its Attributing Traits in Wheat (Triticum aestivum L.)." International Journal of Environment and Climate Change 13, no. 8 (2023): 1057–67. http://dx.doi.org/10.9734/ijecc/2023/v13i82044.

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The current study was undertaken to analyze the genetic variability, correlation and path for yield and its attributing traits at agriculture research farm, Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Punjab during during Rabi 2021-22 and 2022-23. Augmented design with F2 seeds planted in ear to row fashion in 4 rows were used to study variability, correlation and path including 2 parent and its 6 F2’s for the 9 traits viz. plant height, spike length, number of tillers per plant, number of spikes per plant, number of spikelets per ear, numb

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Reddy, Amit, Ingrid Espinoza, Dana Johnson, et al. "Race-specific genetic aberrations in B-acute lymphoblastic leukemia in children." Journal of Clinical Oncology 35, no. 15_suppl (2017): e22000-e22000. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e22000.

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e22000 Background: B-Acute Lymphoblastic Leukemia (B-ALL) is the most common childhood cancer and the leading cause of death in children. Studies have shown that African-American (AA) children have significantly lower survival rates compared to European-American (EA) children. This disparity is not related to socioeconomic variables, suggesting a molecular basis for the lower survival. Here we present a study showing genetic aberrations (GA) involved in race-specific leukemogenesis and contribute to health disparities in B-ALL in AA and EA children. Methods: A total of 20 newly diagnosed pedia

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Rakesh, G., G. Eswara Reddy, A. Dinesh, et al. "Genetic Studies in Advanced Sugarcane Mid-Late Clones through Yield and Quality Traits." International Journal of Environment and Climate Change 13, no. 10 (2023): 4535–42. http://dx.doi.org/10.9734/ijecc/2023/v13i103132.

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Sugarcane varietal development is frequently aimed at increasing yield and sucrose quality. Effective crop genetic evolution requires knowledge of the numerous traits that contribute to the present diversity by genetic analysis. Keeping in view, this experiment was conducted using a randomized block design with three replications and the trial consisted of nine mid-late sugarcane genotypes. Data on cane yield and quality traits were used to estimate the genetic variability parameters, heritability, and genetic advance (GA). Analysis of variance revealed highly significant and significant diffe

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Huang, Chien-Feng, and Hsu-Chih Li. "An Evolutionary Method for Financial Forecasting in Microscopic High-Speed Trading Environment." Computational Intelligence and Neuroscience 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/9580815.

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The advancement of information technology in financial applications nowadays have led to fast market-driven events that prompt flash decision-making and actions issued by computer algorithms. As a result, today’s markets experience intense activity in the highly dynamic environment where trading systems respond to others at a much faster pace than before. This new breed of technology involves the implementation of high-speed trading strategies which generate significant portion of activity in the financial markets and present researchers with a wealth of information not available in traditiona

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R.C, MISRA. "CRITERIA FOR CHOICE OF CHARACTERS FOR CONSTRUCTION OF SELECTION INDICES IN GREENGRAM." Madras Agricultural Journal 72, May (1985): 265–71. http://dx.doi.org/10.29321/maj.10.a02373.

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Five genetle parameters viz. heritability (h), genetic advance (GA.), genotypic correlation of characters with yield (rg). h.rg and path-coefficient of the characters on yield (p) were estimated using 30 varieties of greengram (Vigna radiata Wilczek). Based on these parameters as the criteria five groups of 1 to 9 characters selection indices were constructed. Expected genetic gain in yield due to the indices were com- puted and their efficiency over direct selection for yield per se was assessed. In all the five groups the efficiency of the ludices increased gradually with addition of char- a

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Saritha, A., E. Umarani, and S. Sridevi. "Genetic Parameters in Germplasm Lines for Yield and Its Contributing Traits in Grain Amaranth (Amaranthus hypochondriacus L.)." Journal of Experimental Agriculture International 46, no. 12 (2024): 895–901. https://doi.org/10.9734/jeai/2024/v46i123218.

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The present investigation was conducted to estimate the genetic variability, heritability and genetic advance of genotypes of grain amaranth during kharif, 2022 at Agricultural Research Station, Tornala. Fifty nine genotypes of grain amaranth along with 4 checks (Suvarna, BGA-2, GA-5 and RMA 7) were evaluated in an augmented block design for access their performances. High phenotypic and genotypic coefficient of variation were observed for grain yield/plant (82.73/82.70), no. of spikelets/ plant (62.41/62.36), inflorescence length (49.72/49.66), plant height (41.54/41.47) and days to 50% flowe

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