Gotowe bibliografie tematyczne / Balanced GA

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Gotowa bibliografia na temat „Balanced GA”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Balanced GA"

Wang, C., B. Yang, and H. Q. Wang. "Multi-Objective Master Production Schedule for Balanced Production of Manufacturers." International Journal of Simulation Modelling 19, no. 4 (2020): 678–88. http://dx.doi.org/10.2507/ijsimm19-4-co17.

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Focusing on the balanced use of production capacity in the formulation of master production schedule (MPS), this paper sets up a single-product, multi-stage, multi-objective MPS model based on balanced production. Whereas the model aims to achieve multiple objectives through nonlinear integer programming, a genetic algorithm based on automatic transformation (AT-GA) was designed to solve the model. Specifically, the chromosomes were encoded as integers to satisfy the model constraints; the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was adopted to handle the four no

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VUNDAVILLI, PANDU RANGA, SAMBIT KUMAR SAHU, and DILIP KUMAR PRATIHAR. "ONLINE DYNAMICALLY BALANCED ASCENDING AND DESCENDING GAIT GENERATIONS OF A BIPED ROBOT USING SOFT COMPUTING." International Journal of Humanoid Robotics 04, no. 04 (2007): 777–814. http://dx.doi.org/10.1142/s0219843607001254.

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In the present paper, two algorithms based on soft computing have been developed for dynamically balanced gait generations of a biped robot ascending and descending a staircase. The utility of the soft computing tools is best justified, when the data available for the problem to be solved are imprecise in nature, difficult to model and exhibit large-scale solution spaces. The problem of online gait generation of a biped robot exhibits such a complex phenomenon, and ultimately soft computing has become a natural choice for solving it. The gait generation problems of a biped robot have been solv

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Bala, Anju, and Priti. "Hybrid ACO-PSO-GA-DE Algorithm for Big Data Classification." International Journal of Recent Technology and Engineering (IJRTE) 8, no. 2 (2019): 703–8. http://dx.doi.org/10.35940/ijitee.b1708.078219.

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This paper designs a technique to classify big data efficiently. This work considers the processing of big data as an optimization problem due to the trade-off between accuracy and time and solves this optimization problem by using a meta-heuristic approach. The HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm is designed by using the support vector machine (SVM) along with hybrid ACO-PSO-GA-DE algorithm that hybrids exploration capability of ACO with exploitation capability of PSO

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Kumar, Mohit, Dinesh Kumar, and Md Amir Khusru Akhtar. "A Modified GA-Based Load Balanced Clustering Algorithm for WSN." International Journal of Embedded and Real-Time Communication Systems 12, no. 1 (2021): 44–63. http://dx.doi.org/10.4018/ijertcs.20210101.oa3.

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The prevalent applications of WSN have fascinated a plethora of research efforts. Sensor nodes have serious limitations such as battery lifetime, memory constraints, and computational capabilities. Clustering is an important method for maximizing the network lifetime. In clustering, a network is divided into virtual groups, and CHs send their data to the BS either directly or using multi-hop routing. CHs are some special nodes having more energy than normal nodes. In fact, these special nodes are also battery operated and consequently power constrained; thus, they play a vital role in network

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Hom, Vincent, and Joe Marks. "Automatic Design of Balanced Board Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 3, no. 1 (2021): 25–30. http://dx.doi.org/10.1609/aiide.v3i1.18777.

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AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game play. Designers typically expend great effort to ensure that their games are balanced and challenging. Dynamic game-balancing techniques have been developed to modify a game-engine&rsquo;s parameters in response to user play. In this paper we describe a first attempt at using AI techniques to design balanced board games like checkers and Go by modifying the rules of the game, not just the rule parameters. Our approac

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Jayswal, Anant Kumar. "Hybrid Load-Balanced Scheduling in Scalable Cloud Environment." International Journal of Information System Modeling and Design 11, no. 3 (2020): 62–78. http://dx.doi.org/10.4018/ijismd.2020070104.

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Cloud computing is a high computational distributed environment with high reliability and quality of service. It is playing an important role in the next generation of computing with pay per use model and high elasticity. With increased requirement for cloud resources, load over the cloud servers has increased, which makes cloud use a more efficient algorithm to maintain its performance and quality of service to users. The performance metrics that define the performance of task scheduling include execution time, finish time, scheduling time, task completion cost, and load balancing on each com

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Chai, Song, Yubai Li, Jian Wang, and Chang Wu. "A Genetic Algorithm for Task Scheduling on NoC Using FDH Cross Efficiency." Mathematical Problems in Engineering 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/708495.

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A CrosFDH-GA algorithm is proposed for the task scheduling problem on the NoC-based MPSoC regarding the multicriterion optimization. First of all, four common criterions, namely, makespan, data routing energy, average link load, and workload balance, are extracted from the task scheduling problem on NoC and are used to construct the DEA DMU model. Then the FDH analysis is applied to the problem, and a FDH cross efficiency formulation is derived for evaluating the relative advantage among schedule solutions. Finally, we introduce the DEA approach to the genetic algorithm and propose a CrosFDH-G

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ABO-HAMMOUR, ZÁER S., OTHMAN M. K. ALSMADI, and ADNAN M. AL-SMADI. "MULTI-TIME-SCALE SYSTEMS MODEL ORDER REDUCTION VIA GENETIC ALGORITHMS WITH EIGENVALUE PRESERVATION." Journal of Circuits, Systems and Computers 20, no. 07 (2011): 1403–18. http://dx.doi.org/10.1142/s0218126611007943.

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A novel substructure (dominant eigenvalue) preserving genetic algorithm approach for model order reduction (MOR) of multi-time-scale systems is presented in this paper. The new technique is formulated based on genetic algorithms (GAs), sub-optimization and estimation. The GA predicts the elements of an upper triangular matrix form of the system state matrix A, defined in state space representation along with the elements of B, C, and D matrices. The GA procedure is based on maximizing the fitness function corresponding to the reciprocal response deviation between the full order model and the r

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Ren, Jin Xia, and Hao Yang Guo. "Research on the Network Congestion Control Based on GA-PSO Path Optimization." Applied Mechanics and Materials 513-517 (February 2014): 675–78. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.675.

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Based on the integration of the genetic algorithm and particle swarm algorithm, a network congestion control method is proposed for path optimization, which takes the load balanced distribution function and the resource consumption function as optimization target and optimizes path under the condition of meeting a number of QoS metrics such as bandwidth, delay, expense. Aiming at avoidance of network congestion, the approach attempt to minimize the network resource consumption and balance the distribution of network load. Simulation results show that the method is effective and reliable.

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MADASAMY, Bhuvaneswari, and Paramasivan BALASUBRAMANIAM. "Enhanced Load Balanced Clustering Technique for VANET Using Location Aware Genetic Algorithm." Promet - Traffic&Transportation 34, no. 1 (2022): 39–52. http://dx.doi.org/10.7307/ptt.v34i1.3785.

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The vehicular Adhoc Network has unique charac-teristics of frequent topology changes, traffic rule-based node movement, and speculative travel pattern. It leads to stochastic unstable nature in forming clusters. The re-liable routing process and load balancing are essential to improve the network lifetime. Cluster formation is used to split the network topology into small structures. The reduced size network leads to accumulating the topology information quickly. Due to the absence of centralised management, there is a pitfall in network topology man-agement and optimal resource allocation, re

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Rozprawy doktorskie na temat "Balanced GA"

Morgan, Rachael. "Iron-oxide and carbonate formation and transformations from banded iron formations 2.7 to 2.4 Ga." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00780484.

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It is the study of banded iron formations (BIFs) that provides understanding into the conditions of the Earth's oceans and atmosphere during the Archean and Early Proterozoic. The aim of this thesis is to provide a detailed mineralogical and geochemical understand of BIFs from two separate localities separated by the Archean Proterozoic boundary. Close attention is paid to their carbonate and iron oxide mineralogy.The BIFs of the 2.7 Ga Manjeri Formation, Zimbabwe and 2.4 Ga Itabira Group, Brazil were both precipitated from oxygenated mixed marine-hydrothermal fluids. This is demonstrated by t

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Elston, Susan Anne. "Secondary Circulation in a Sinuous Coastal Plain Estuary." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-05042005-143327/.

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Thesis (Ph. D.)--Earth and Atmospheric Sciences, Georgia Institute of Technology, 2005. Dr. Curry, Judith, Committee Co-Chair ; Dr. Blanton, Jackson - Committee Chair, Committee Chair ; Dr. Cunnold, Derek, Committee Member ; Dr. Seim, Harvey, Committee Member ; Dr. Webster, Donald, Committee Member ; Dr. Webster, Peter, Committee Member ; Dr. Wong, Kuo, Committee Member.

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"Optical heterodyne detection with balanced Ga₀.₄₇In₀.₅₃As metal-semiconductor-metal photodetectors." Chinese University of Hong Kong, 1996. http://library.cuhk.edu.hk/record=b5888790.

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by Chan Pak-To. Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. Includes bibliographical references. Chapter 1. --- Introduction Chapter 1.1 --- Overview --- p.1-3 Chapter 1.2 --- Current Technology of Coherent Detection --- p.3 -8 Chapter 1.3 --- About this Project --- p.8 References --- p.9 -12 Chapter 2. --- Background Theory Chapter 2.1 --- MSM Photodetector --- p.1 -6 Chapter 2.2 --- Optical Coherent Detection --- p.6-7 Chapter 2.3 --- Shot Noise Limited Detection --- p.8-9 Chapter 2.4 --- Self Heterodyne Linewidth Measurement --- p.9-1

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Książki na temat "Balanced GA"

Bōeki, Kokusai Shūshi no Kōzōteki Henka to Nihon Keizai ni Kansuru Kenkyūkai (2012-2013 Tokyo, Japan). Nihon no kokusai kyōsōryoku: Bōeki, kokusai shūshi no kōzōteki henka ga motarasu mono. Chūō Keizaisha, 2013.

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1951-, Itō Motoshige, and Tsūshō Sangyōshō Tsūshō Sangyō Kenkyūjo (Japan), eds. Bōeki kuroji no gokai: Nihon keizai no doko ga mondai ka. Tōyō Keizai Shinpōsha, 1994.

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Russell, Catherine. When a Woman Ascends the Stairs (Onna ga kaidan o agaru toki). Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781839026461.

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Mikio Naruse'sWhen A Woman Ascends The Stairs(1960) combines high melodrama with modernist film language, telling the story of Keiko, a bar hostess struggling to succeed in Tokyo's Ginza district. Catherine Russell's study of the film provides an in-depth analysis of Naruse's distinctive filmmaking, from his use of two-shots in confined spaces, unique lighting techniques, and his "invisible" and "rhythmic" editing style. She analyses the recurring motif of a woman’s white-stockinged feet climbing stairs, considering how this symbolizes the social dynamics of the high-class Japanese sex industr

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Egan, Elisabeth. Mama ga hontō ni shitakatta koto. 2017.

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Boeki kuroji no gokai: Nihon keizai no doko ga mondai ka. Toyo Keizai Shinposha, 1994.

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Morita, Hiroko. Shigoto to watashi dotchi ga daiji nano?: Kokuren mama no kosodate-ki. 2017.

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Fukushiki boki no mokujiroku: The apocalypse of balance sheet : hisū 13 to Dabide-mon ga akasu gyakushū no Nihon shi. Tokuma Shoten, 1994.

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Części książek na temat "Balanced GA"

Lipare, Amruta, Damodar Reddy Edla, Ramalingaswamy Cheruku, and Diwakar Tripathi. "GWO-GA Based Load Balanced and Energy Efficient Clustering Approach for WSN." In Smart Innovation, Systems and Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0077-0_29.

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Gupta, Suneet Kumar, Pratyay Kuila, and Prasanta K. Jana. "GA Based Energy Efficient and Balanced Routing in k-Connected Wireless Sensor Networks." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2035-3_68.

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Pei, Zhijian, Zhihui Deng, and Xinmin Shi. "Research on Production Line Balance Optimization Based on Improved PSO-GA Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9412-0_31.

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Wineberg, Mark, and Jun Chen. "The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA." In Genetic and Evolutionary Computation – GECCO 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24855-2_28.

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Abouhabaga, Omnia Osman, and Mohamed Hassan Gadallah. "Inner-Outer Array Based on Genetic Algorithm With Constraint Relaxation for Constrained Integer Optimization Engineering Problems." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7117-6.ch007.

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The Inner-Outer Array (IOA) and Constraint Relaxation method (CR) are introduced into Genetic Algorithm (GA) to propose hybrid Inner-Outer Array based on Genetic Algorithm with Constraint Relaxation (IOA-GA-CR) for solving hard-to-solve problems. This hybridized approach's search method uses IOA to roughly scan the entire search domain before concentrating the search, using GA, on the promising regions. Combining the IOA and GA algorithms balances the powers of exploration and exploitation, increasing the efficiency of finding global or nearly global optima. The adaptive control parameters of

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Kaliannan Jagatheesan, Baskaran Anand, Dey Nilanjan, Ashour Amira S., and Kumar Rajesh. "Bat Algorithm Optimized Controller for Automatic Generation Control of Interconnected Thermal Power System." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2019. https://doi.org/10.3233/978-1-61499-939-3-276.

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The power balance is considered as most remarkable issue in power generation system. In this proposed work thermal power systems are connected through tie-line. Thermal power system is designed by considering reheat turbine with single stage, governor, and speed regulator unit. Proportional-Integral-Derivative (PID) controller is implemented to regulate the system operation. In this proposed work, the automatic generation control of three-area interconnected reheat thermal power generating system designed and discussed. The PID controller gain values are tuned with the help of more powerful ev

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Gaschnig*, Richard, Reed S. Lewis, Andy Buddington, and Klementina Mato. "Basement, belt, and batholith: Bedrock geology of the Idaho Panhandle." In Proterozoic Nuna to Pleistocene Megafloods: Sharing Geology of the Inland Northwest. Geological Society of America, 2024. http://dx.doi.org/10.1130/2024.0069(01).

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ABSTRACT This trip explores the three main bedrock geology elements in the Idaho Panhandle region and the Priest River metamorphic complex: basement gneisses, the Belt Supergroup (Purcell Supergroup in Canada), and the Kaniksu batholith. The Priest River metamorphic complex includes two areas with Precambrian basement gneisses, informally termed the Pend Oreille and Cougar Gulch complexes. The Pend Oreille complex contains a 2.67 Ga orthogneiss and a 1.58 Ga orthogneiss, the latter notable for falling in the “North American magmatic gap” (NAMG) age range. The Cougar Gulch complex is dominated

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Bose, Goutam Kumar, Debasis Das Adhikary, and Pritam Pain. "Application of Metaheuristic Algorithms in the Availability-Centered Preventive Maintenance Optimization of Coal-Fired Power Plants." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7352-1.ch009.

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This book chapter explores the application of metaheuristic algorithms in optimizing availability-centered preventive maintenance for coal-fired power plants, with a specific case study from India. The study develops an optimization model aimed at enhancing the availability of plant operations while minimizing maintenance costs. The model is optimized using three advanced metaheuristic algorithms: Genetic Algorithm (GA), Simulated Annealing (SA), and Bee Colony Optimization (BCO). Each algorithm's effectiveness is evaluated based on its ability to achieve the desired balance between maximizing

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Roeva, Olympia, Tsonyo Slavov, and Stefka Fidanova. "Population-Based vs. Single Point Search Meta-Heuristics for a PID Controller Tuning." In Handbook of Research on Novel Soft Computing Intelligent Algorithms. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4450-2.ch007.

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This chapter presents a comparison of population-based (e.g. Genetic Algorithms (GA), Firefly Algorithm (FA), and Ant Colony Optimization (ACO))and single point search meta-heuristic methods (e.g. Simulated Annealing (SA), Threshold Accepting (TA), and Tabu Search (TS)) applied to an optimal tuning of a universal digital proportional-integral-derivative (PID) controller. The PID controllers control feed rate and maintain glucose concentration at the desired set point for an E. coli MC4110 fed-batch cultivation process. The model of the cultivation process is represented by dynamic non-linear m

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Akbaş, Melike Nur, Dilara Nemutlu Samur, and Zinnet Şevval Aksoyalp. "Licorice: Evaluation of Phytochemical Neuropharmacological Profile and Drug Interactions with a Focus on Gut Microbiota." In Science of Spices and Culinary Herbs - Latest Laboratory, Pre-clinical, and Clinical Studies. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815274370124060008.

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Licorice, derived from the dried roots and rhizomes of Glycyrrhiza uralensis Fisch., Glycyrrhiza inflata Bat. or Glycyrrhiza glabra L., has been utilized in Traditional Chinese Medicine for centuries. Licorice serves not only as a sweetener, but also as a remedy for various ailments, including cough, fever, pain, heartburn, kidney stones, and skin ulcers. Glycyrrhizin is a major compound of licorice that contains high amounts of flavonoids, saponins, triterpenes, isoflavonoids, and chalcones. The gut microbiota contains trillions of microorganisms in the gastrointestinal system, and the balanc

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Streszczenia konferencji na temat "Balanced GA"

Qin, Yuan, Zineng Yang, Hehe Gong, et al. "10 kV, 250°C Operational, Enhancement-Mode Ga₂O₃ JFET with Charge-Balance and Hybrid-Drain Designs." In 2024 IEEE International Electron Devices Meeting (IEDM). IEEE, 2024. https://doi.org/10.1109/iedm50854.2024.10873432.

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Chaturvedi, Yatender, Sumit Kumar, Priti Bansal, and Sushil Yadav. "Comparison among APSO, PSO & GA for Performance Investigation of SEIG with Balanced Loading." In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776887.

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Ohta, Yoshiki. "Genetic Algorithm Approach for Optimization of FRP Laminated Cylindrical Shells Under Constraint." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8170.

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Abstract Fiber Reinforced Plastic (FRP) materials have been increasingly used in many structural applications of space shuttles, airplanes and automobiles, and the structural optimization of FRP laminated composite shells has been studied for stiffer structural design by many researchers. This paper studies the maximization of fundamental frequencies of FRP laminated cylindrical shells under stiffness constraint by using Genetic Algorithm (GA). For this purpose, the frequency equation for simply-supported shells with symmetrically balanced stacking sequence is derived analytically based on Cla

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Shih, Hua-Chu. "Evaluation of Zinc Coating Adhesion in Stamping Advanced High Strength Steel." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37977.

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Advanced high strength steels (AHSS) have been widely used in vehicle structural components due to their high strength properties balanced with good formability. In many applications, a zinc coating is often applied to AHSS for the corrosion protection. Due to the high strength properties of AHSS, higher forming forces and binder pressures are also required in stamping AHSS, which often results in coating powdering/flaking or galling around the draw bead and die radius areas. The degree of coating powdering/flaking depends upon forming process variables such as draw bead force, forming speed,

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Shih, Hua-Chu, and Ming F. Shi. "Die Wear and Coating Galling in Stamping Advanced High Strength Steels." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62668.

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Advanced high strength steels (AHSS) have been widely used in vehicle structural components due to their high strength nature with balanced formability. In a typical application, a zinc coating is often required and applied to AHSS for the purpose of corrosion protection. Due to the high strength nature of AHSS, higher forming forces and binder pressures are also required in stamping AHSS, which often results in coating galling and die wear. The degree of coating galling and die wear depends upon forming process variables such as contact pressure, forming speed, lubrication and die temperature

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Qiu, Hai, Liangsheng Qu, and Ruixiang Sun. "A Genetic Algorithm Based Balancing Framework for Flexible Rotors." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8264.

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Abstract Most of the methods in flexible rotor balancing currently used rely on the repeated running up and down processes of the balanced machine. The ordinary balancing methods without test runs are regularly based on too many hypotheses and depended on prior knowledge of bearings. The latter restricts their wide application in practice. This paper establishes a balancing process frame with both unbalance and bearing parameters as inputs and the vibration responses on bearings as outputs. The authors determine the rotor unbalance as an inverse engineering problem using genetic algorithms (GA

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ZAMANI, PEGAH, and CATHERINE MERCIER-BAGGETT. "Catalyzing Health Equity through Design: A Place- Based Approach to Community Revitalization." In 2021 AIA/ACSA Intersections Research Conference. ACSA Press, 2021. http://dx.doi.org/10.35483/acsa.aia.inter.21.22.

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To advance public health, equity and sustainability in a marginalized community, what role can the partnership among academia, local government and practice play? In what ways can we integrate an impactful community engagement into the design curriculum? Such notion of engaged scholarship is inquired in the latest collaborative project of our research lab on Design for Health: Advancing Built Environment Performance through Equitable, Ecological and Sustainable Developments. In partnership with the City of Sandy Springs, GA, a team of undergraduate architecture students at Kennesaw State Unive

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Han, Xiao. "Research on Sample Dataset Balance Method of SVM Based on GA." In 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering. Atlantis Press, 2016. http://dx.doi.org/10.2991/mmme-16.2016.197.

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So, Arthur R. Pinheiro, Alinne C. Corrêa Souza, Lincoln M. Costa, Rafael G. Mantovani, and Francisco Carlos M. Souza. "Design and Evaluation of a Procedurally Generated Dungeon Game." In Simpósio Brasileiro de Jogos e Entretenimento Digital. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/sbgames.2024.241270.

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Game development involves creating various content, from artistic tasks to technical activities. Procedural Content Generation (PCG) and metaheuristics like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) automate and optimize this process. This paper presents Dungeoncide, a game using GA and PSO for procedural content generation. Dungeoncide features a medieval knight battling monsters in procedural generated dungeons. The primary contributions include the development process and player feedback on the generated content’s quality and feasibility. Experiments showed that while gen

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Yang, Kai, and Lei Hou. "Using Machine Learning Tools for Forecasting Natural Gas Market Demand." In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21378.

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Abstract Providing reliable and accurate forecasts of natural gas consumption can keep supply and demand of natural gas pipelines in balance, which can increase profits and reduce supply risks. In order to accurately predict the short-term load demand of different gas nodes in the natural gas pipeline network, a hybrid optimization strategy of integrated genetic optimization algorithm and support vector machine are proposed. Factors such as holidays, date types and weather were taken into account to build a natural gas daily load prediction model based on GA-SVM was established. A natural gas

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