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Journal articles on the topic 'NSGA-2'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhao, De Gao, and Qiang Li. "Optimization of Vehicle-Borne Radar Antenna Pedestal Based on Modified NSGA-II." Advanced Materials Research 945-949 (June 2014): 2241–47. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2241.

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This paper deals with application of Non-dominated Sorting Genetic Algorithm with elitism (NSGA-II) to solve multi-objective optimization problems of designing a vehicle-borne radar antenna pedestal. Five technical improvements are proposed due to the disadvantages of NSGA-II. They are as follow: (1) presenting a new method to calculate the fitness of individuals in population; (2) renewing the definition of crowding distance; (3) introducing a threshold for choosing elitist; (4) reducing some redundant sorting process; (5) developing a self-adaptive arithmetic cross and mutation probability.

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Liu, Changrong, Hanqing Wang, Yifang Tang, and Zhiyong Wang. "Optimization of a Multi-Energy Complementary Distributed Energy System Based on Comparisons of Two Genetic Optimization Algorithms." Processes 9, no. 8 (2021): 1388. http://dx.doi.org/10.3390/pr9081388.

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The development and utilization of low-carbon energy systems has become a hot topic of energy research in the international community. The construction of a multi-energy complementary distributed energy system (MCDES) is researched in this paper. Based on the multi-objective optimization theory, the planning optimization of an MCDES is studied, and a three-dimensional objective-optimization model is constructed by considering the constraints of the objective function and decision variables. Aiming at the optimization problem of building terminals for the MCDES studied in the paper, two genetic

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Bu, Jian-Guo, Xu-Dong Lan, Ming Zhou, and Kai-Xiong Lv. "Performance Optimization of Flywheel Motor by Using NSGA-2 and AKMMP." IEEE Transactions on Magnetics 54, no. 6 (2018): 1–7. http://dx.doi.org/10.1109/tmag.2017.2784401.

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Islam, Q. N. U., S. M. Abdullah, and M. A. Hossain. "Optimized Controller Design for an Islanded Microgrid using Non-dominated Sorting Sine Cosine Algorithm (NSSCA)." Engineering, Technology & Applied Science Research 10, no. 4 (2020): 6052–56. http://dx.doi.org/10.48084/etasr.3468.

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In order to cope with the increasing energy demand, microgrids emerged as a potential solution which allows the designer a lot of flexibility. The optimization of the controller parameters of a microgrid ensures a stable and environment friendly operation. Non-dominated Sorting Sine Cosine Algorithm (NSSCA) is a hybrid of Sine Cosine Algorithm and Non-dominated Sorting technique. This algorithm is applied to optimize the control parameters of a microgrid which incorporates both static and dynamic load. The obtained results are compared with the results of the established Non-dominated Sorting

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Han, Woo Gyu, Woon Bae Park, Satendra Pal Singh, Myoungho Pyo, and Kee-Sun Sohn. "Determination of possible configurations for Li0.5CoO2 delithiated Li-ion battery cathodes via DFT calculations coupled with a multi-objective non-dominated sorting genetic algorithm (NSGA-III)." Physical Chemistry Chemical Physics 20, no. 41 (2018): 26405–13. http://dx.doi.org/10.1039/c8cp05284k.

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Sonata, Fifin, and Dede Prabowo Wiguna. "Analisis Perbandingan Aggregat Of Function (AOF) dengan Non-Dominated Sorting Genetic Algorithm (NSGA-II) dalam Menentukan Optimasi Multi-Objective pada Penjadwalan Mesin Produksi Flow Shop." Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) 17, no. 2 (2018): 158. http://dx.doi.org/10.53513/jis.v17i2.39.

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Penjadwalan mesin produksi dalam dunia industri memiliki peranan penting sebagai bentuk pengambilan keputusan. Salah satu jenis sistem penjadwalan mesin produksi adalah sistem penjadwalan mesin produksi tipe flow shop. Dalam penjadwalan flow shop, terdapat sejumlah pekerjaan (job) yang tiap-tiap job memiliki urutan pekerjaan mesin yang sama. Optimasi penjadwalan mesin produksi flow shop berkaitan dengan penyusunan penjadwalan mesin yang mempertimbangkan 2 objek yaitu makespan dan total tardiness. Optimasi kedua permasalahan tersebut merupakan optimasi yang bertolak belakang sehingga diperlukan

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Vargas-Hákim, Gustavo-Adolfo, Efrén Mezura-Montes, and Edgar Galván. "Evolutionary Multi-Objective Energy Production Optimization: An Empirical Comparison." Mathematical and Computational Applications 25, no. 2 (2020): 32. http://dx.doi.org/10.3390/mca25020032.

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This work presents the assessment of the well-known Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and one of its variants to optimize a proposed electric power production system. Such variant implements a chaotic model to generate the initial population, aiming to get a better distributed Pareto front. The considered power system is composed of solar, wind and natural gas power sources, being the first two renewable energies. Three conflicting objectives are considered in the problem: (1) power production, (2) production costs and (3) CO2 emissions. The Multi-Objective Evolutionary Algo

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Tavassoli, Leyla Sadat, Reza Massah, Arsalan Montazeri, Mirpouya Mirmozaffari, Guang-Jun Jiang, and Hong-Xia Chen. "A New Multiobjective Time-Cost Trade-Off for Scheduling Maintenance Problem in a Series-Parallel System." Mathematical Problems in Engineering 2021 (June 30, 2021): 1–13. http://dx.doi.org/10.1155/2021/5583125.

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In this paper, a modified model of Nondominated Sorting Genetic Algorithm 2 (NSGA-II), which is one of the Multiobjective Evolutionary Algorithms, is proposed. This algorithm is a new model designed to make a trade-off between minimizing the cost of preventive maintenance (PM) and minimizing the time taken to perform this maintenance for a series-parallel system. In this model, the limitations of labor and equipment of the maintenance team and the effects of maintenance issues on manufacturing problems are also considered. In the mathematical model, finding the appropriate objective functions

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Wu, Lianzhou, Tao Bai, Qiang Huang, Jian Wei, and Xia Liu. "Multi-Objective Optimal Operations Based on Improved NSGA-II for Hanjiang to Wei River Water Diversion Project, China." Water 11, no. 6 (2019): 1159. http://dx.doi.org/10.3390/w11061159.

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It is important to investigate the laws of reservoir multi-objective optimization operations, because it can obtain the best benefits from inter-basin water transfer projects to mitigate water shortage in intake areas. Given the multifaceted demands of the Hanjiang to Wei River Water Diversion Project, China (referred hereafter as “the Project”), an easy-to-operate multi-objective optimal model based on simulation is built and applied to search the multi-objective optimization operation rules between power generation and energy consumption. The Project includes two reservoirs connected by a wa

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Liu, Da Wei, Xin Peng, Xin Xu, and De Hua Chen. "Investigation on the Multi-Objective Optimization of Supercritical Airfoil Based on Nondominated Sorting Genetic Algorithm." Applied Mechanics and Materials 444-445 (October 2013): 357–62. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.357.

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This paper aimed to investigate the multi-objective optimization method of supercritical airfoil. To achieve the optimal design of supercritical airfoil Rae2822, an improved NSGA-2 (Nondominated Sorting Genetic Algorithm) method was utilized, while the cross-operator and adaptive-variation operator were introduced to improve the convergence speed of the algorithm. During the optimization, the airfoil parametric modeling was achieved based on the Bezier-Bernstein method, and the objective function was obtained through solving the N-S equations. Considering the parallel computation characteristi

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Eftekharian, Seyedeh, Mohammad Shojafar, and Shahaboddin Shamshirband. "2-Phase NSGA II: An Optimized Reward and Risk Measurements Algorithm in Portfolio Optimization." Algorithms 10, no. 4 (2017): 130. http://dx.doi.org/10.3390/a10040130.

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Ajith Arul Daniel, S., R. Kumar, S. VijayAnanth, and R. Pugazhenthi. "Multi-objective optimization of drilling of Al5059-SiC-2%MoS2 composites using NSGA-II." Materials Today: Proceedings 22 (2020): 853–57. http://dx.doi.org/10.1016/j.matpr.2019.11.031.

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Mirzaie-Nodoushan, Fahimeh, Omid Bozorg-Haddad, and Hugo A. Loáiciga. "Optimal design of groundwater-level monitoring networks." Journal of Hydroinformatics 19, no. 6 (2017): 920–29. http://dx.doi.org/10.2166/hydro.2017.044.

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Abstract Groundwater monitoring plays a significant role in groundwater management. This study presents an optimization method for designing groundwater-level monitoring networks. The proposed design method was used in the Eshtehard aquifer, in central Iran. Three scenarios were considered to optimize the locations of the observation wells: (1) designing new monitoring networks, (2) redesigning existing monitoring networks, and (3) expanding existing monitoring networks. The kriging method was utilized to determine groundwater levels at non-monitoring locations for preparing the design data ba

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Chaube, A., L. Benyoucef, and M. K. Tiwari. "An adapted NSGA-2 algorithm based dynamic process plan generation for a reconfigurable manufacturing system." Journal of Intelligent Manufacturing 23, no. 4 (2010): 1141–55. http://dx.doi.org/10.1007/s10845-010-0453-9.

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Rajković, Miloš, Nenad Zrnić, Nenad Kosanić, Matej Borovinšek, and Tone Lerher Lerher. "A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems." Transport 34, no. 3 (2019): 275–86. http://dx.doi.org/10.3846/transport.2019.9686.

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A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: “investment expenses”, “cycle times”, “CO 2 footprint”) the Non-domin

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Prajapati, Amarjeet. "A comparative study of many-objective optimizers on large-scale many-objective software clustering problems." Complex & Intelligent Systems 7, no. 2 (2021): 1061–77. http://dx.doi.org/10.1007/s40747-021-00270-8.

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AbstractOver the past 2 decades, several multi-objective optimizers (MOOs) have been proposed to address the different aspects of multi-objective optimization problems (MOPs). Unfortunately, it has been observed that many of MOOs experiences performance degradation when applied over MOPs having a large number of decision variables and objective functions. Specially, the performance of MOOs rapidly decreases when the number of decision variables and objective functions increases by more than a hundred and three, respectively. To address the challenges caused by such special case of MOPs, some l

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Gupta, Rahul Dev, Pardeep Gupta, and Rajesh Khanna. "Parametric optimization of USM parameters by Taguchi and NSGA-II for the development of µ-channels on pure titanium." Grey Systems: Theory and Application 10, no. 2 (2020): 173–92. http://dx.doi.org/10.1108/gs-01-2020-0007.

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PurposeThis paper consolidates and presents the results of a work conducted to fabricate micro-channels on titanium grade-2 material by ultrasonic machining process (USM). In this research, the effects of important USM parameters, namely, kind of abrasives and its size, concentration of slurry, USM power rating and feed rate, have been probed on micro-channels quality for average surface roughness and process throughput in the form of material removal rate.Design/methodology/approachMultiple micro-channels on commercially pure titanium (i.e. Ti grade-2) have been fabricated in a single pass by

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18

Liu, Mingcong, Shaobo Yang, Hongyu Li, Jiayi Xu, and Xingfei Li. "Energy Consumption Analysis and Optimization of the Deep-Sea Self-Sustaining Profile Buoy." Energies 12, no. 12 (2019): 2316. http://dx.doi.org/10.3390/en12122316.

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In order to reduce the energy consumption of deep-sea self-sustaining profile buoy (DSPB) and extend its running time, a stage quantitative oil draining control mode has been proposed in this paper. System parameters have been investigated including oil discharge resolution (ODR), judgment threshold of the floating speed and frequency of oil draining on the energy consumption of the system. The single-objective optimization model with the total energy consumption of DSPB’s ascent stage as the objective function has been established by combining the DSPB’s floating kinematic model. At the same

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Zhu, Jian Rong, Yi Zhuang, Jing Li, and Wei Zhu. "Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing." Advanced Materials Research 1046 (October 2014): 508–11. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.508.

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How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.

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Li, Li, Yanhong Chen, Zhifeng Lin, et al. "Association of pre-pregnancy body mass index with adverse pregnancy outcome among first-time mothers." PeerJ 8 (October 14, 2020): e10123. http://dx.doi.org/10.7717/peerj.10123.

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Background Studies have reported an increased risk of adverse pregnancy outcome associated with pre-pregnancy body mass index (BMI). However, the data on such associations in urban areas of southern Chinese women is limited, which drive us to clarify the associations of pre-pregnancy BMI and the risks of adverse pregnancy outcomes (preterm birth (PTB) and low birth weight (LBW)) and maternal health outcomes (gestational hypertension and cesarean delivery). Methods We performed a hospital-based case-control study including 3,864 Southern Chinese women who gave first birth to a live singleton in

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Bu, Jian-guo, Ming Zhou, Xu-dong Lan, and Kai-xiong Lv. "Optimization for Airgap Flux Density Waveform of Flywheel Motor Using NSGA-2 and Kriging Model Based on MaxPro Design." IEEE Transactions on Magnetics 53, no. 8 (2017): 1–7. http://dx.doi.org/10.1109/tmag.2017.2702758.

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Fu, Jisi, Ping-An Zhong, Bin Xu, Feilin Zhu, Juan Chen, and Jieyu Li. "Comparison of Transboundary Water Resources Allocation Models Based on Game Theory and Multi-Objective Optimization." Water 13, no. 10 (2021): 1421. http://dx.doi.org/10.3390/w13101421.

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Transboundary water resources allocation is an effective measure to resolve water-related conflicts. Aiming at the problem of water conflicts, we constructed water resources allocation models based on game theory and multi-objective optimization, and revealed the differences between the two models. We compare the Pareto front solved by the AR-MOEA method and the NSGA-II method, and analyzed the difference between the Nash–Harsanyi Leader–Follower game model and the multi-objective optimization model. The Huaihe River basin was selected as a case study. The results show that: (1) The AR-MOEA me

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Czajkowska, Anna M., and Tiku T. Tanyimboh. "Water distribution network optimization using maximum entropy under multiple loading patterns." Water Supply 13, no. 5 (2013): 1265–71. http://dx.doi.org/10.2166/ws.2013.119.

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This paper proposes a maximum entropy-based multi-objective genetic algorithm approach for the design optimization of water distribution networks (WDNs). The novelty is that in contrast to previous research involving statistical entropy the algorithm can handle multiple operating conditions. We used NSGA II and EPANET 2 and wrote a subroutine that calculates the entropy value for any given WDN configuration. The proposed algorithm is demonstrated by designing a six-loop network that is well known from previous entropy studies. We used statistical entropy to include reliability in the design op

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Wang, Ning-Ning, Jie Dong, Yin-Hua Deng, et al. "ADME Properties Evaluation in Drug Discovery: Prediction of Caco-2 Cell Permeability Using a Combination of NSGA-II and Boosting." Journal of Chemical Information and Modeling 56, no. 4 (2016): 763–73. http://dx.doi.org/10.1021/acs.jcim.5b00642.

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Aguilar-Rivera, Anton. "A GPU fully vectorized approach to accelerate performance of NSGA-2 based on stochastic non-domination sorting and grid-crowding." Applied Soft Computing 88 (March 2020): 106047. http://dx.doi.org/10.1016/j.asoc.2019.106047.

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Vonk, E., Y. P. Xu, M. J. Booij, and D. C. M. Augustijn. "Quantifying the robustness of optimal reservoir operation for the Xinanjiang-Fuchunjiang Reservoir Cascade." Water Supply 16, no. 1 (2015): 79–86. http://dx.doi.org/10.2166/ws.2015.116.

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In this research we investigate the robustness of the common implicit stochastic optimization (ISO) method for dam reoperation. As a case study, we focus on the Xinanjiang-Fuchunjiang reservoir cascade in eastern China, for which adapted operating rules were proposed as a means to reduce the impact of climate change and socio-economic developments. The optimizations were based on five different water supply and demand scenarios for the future period from 2011 to 2040. Main uncertainties in the optimization can be traced back to correctness of the assumed supply and demand scenarios and the qua

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Qiao, Zong Liang, Lei Zhang, Feng Qi Si та Zhi Gao Xu. "Multi-Objective Optimum Design for Wave-Plate Demister Based on NSGA-ΙΙ Algorithm". Advanced Materials Research 864-867 (грудень 2013): 1163–67. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.1163.

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For optimizing the structure design of the wave-plate demister vanes in wet flue gas desulfurization system (WFGD) of power plants, the characteristics models of removal efficiency and pressure drop were established by using least squares support vector machine (LSSVM) based on numerical simulation results. The highest relative error between the predicted output and measured value is 2%, it proves the modeling is good for the prediction. Based on the characteristics models, a multi-objective optimization model was established. It used the structural parameters as the optimal variables and the

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Eswari, J. Satya, and Shadab Ahmad. "TRIPLE OBJECTIVE OPTIMIZATION OF CYTOTOXIC POTENCY OF HUMAN CARCINOMA CELL LINES OF ULVA FASCIATA DELILE (A MARINE MACRO ALGA) USING NON-SORTING GENETIC ALGORITHM." International Journal of Pharmacy and Pharmaceutical Sciences 8, no. 9 (2016): 79. http://dx.doi.org/10.22159/ijpps.2016.v8i9.12003.

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<p><strong>Objective: </strong>The main purpose of our work was to arrive at an acceptable model for optimizing the cytotoxic potency of<em> Ulva fasciata </em>Delile extract on human carcinoma cell lines of which can provide believable indications as compared to experimental results.</p><p><strong>Methods: </strong>The experimental result for cytotoxic potency of a methanolic extract of the <em>Ulva fasciata </em>Delile (MEUF) with a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay against human colon c

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Oraei Zare, S., B. Saghafian, and A. Shamsai. "Multi-objective optimization for combined quality–quantity urban runoff control." Hydrology and Earth System Sciences 16, no. 12 (2012): 4531–42. http://dx.doi.org/10.5194/hess-16-4531-2012.

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Abstract. Urban development affects the quantity and quality of urban surface runoff. In recent years, the best management practices (BMPs) concept has been widely promoted for control of both quality and quantity of urban floods. However, means to optimize the BMPs in a conjunctive quantity/quality framework are still under research. In this paper, three objective functions were considered: (1) minimization of the total flood damages, cost of BMP implementation and cost of land-use development; (2) reducing the amount of TSS (total suspended solid) and BOD5 (biological oxygen demand), represe

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Shankar, K., and Akshay S. Baviskar. "Improved hybrid Strength Pareto Evolutionary Algorithms for multi-objective optimization." International Journal of Intelligent Computing and Cybernetics 11, no. 1 (2018): 20–46. http://dx.doi.org/10.1108/ijicc-12-2016-0063.

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Purpose The purpose of this paper is to design an improved multi-objective algorithm with better spread and convergence than some current algorithms. The proposed application is for engineering design problems. Design/methodology/approach This study proposes two novel approaches which focus on faster convergence to the Pareto front (PF) while adopting the advantages of Strength Pareto Evolutionary Algorithm-2 (SPEA2) for better spread. In first method, decision variables corresponding to the optima of individual objective functions (Utopia Point) are strategically used to guide the search towa

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Modrak, Vladimir, Ranjitharamasamy Sudhakara Pandian, and Shanmugakani Senthil Kumar. "Parametric Study of Wire-EDM Process in Al-Mg-MoS2 Composite Using NSGA-II and MOPSO Algorithms." Processes 9, no. 3 (2021): 469. http://dx.doi.org/10.3390/pr9030469.

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Al-Mg-based composite is used in producing a variety of components. To improve the machinability of the composite, MoS2 is added. For characterizing the machining of the Al-Mg-based composite, different wt.% (2, 4, and 6) of MoS2 are added as reinforcement. Wire Electrical Discharge Machining (WEDM) process is performed to analyze the kerf width and surface roughness. Due to the complex nature of the WEDM process, the necessity for its optimization through the use of innovative methods is well-proven in the process of research. Evolutionary algorithms, specifically genetic algorithm based on N

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Dey, Suman Kumar, Deba Prasad Dash, and Mousumi Basu. "Multi-Objective Economic Environmental Dispatch of Variable Hydro-Wind-Thermal Power System." International Journal of Applied Metaheuristic Computing 12, no. 2 (2021): 16–35. http://dx.doi.org/10.4018/ijamc.2021040102.

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This article presents a multi-objective economic environmental/emission dispatch (EED) of variable head hydro-wind-thermal power system. The combination of NOx emission, SO2 emission, and fuel cost are minimized for non-smooth hydrothermal plants while satisfying various operational constraints like non-smooth fuel cost, penalty coefficient, and wind power uncertainty. The objectives—cost, NOx emission, and SO2 emission—are optimized at the same time. In this research, the non-dominated sorting genetic algorithm-II (NSGA-II) has been employed for solving the given problem where the total cost,

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Li, Xingjiang, Hanyun Yin, and Fuhai Yan. "Routing optimization of the emergency supplies distribution vehicles using NSGA-II algorithm: a case study." MATEC Web of Conferences 325 (2020): 03002. http://dx.doi.org/10.1051/matecconf/202032503002.

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In recent years, emergencies, including natural disasters and other public disasters, have seriously threatened the lives and property security of people all over the world. In order to save more people’s lives and reduce the losses caused by disasters, many researchers have carried out intensive study on the distribution of emergency supplies. This paper first studies Location-Routing Problem(LRP) of alternative logistics centers and material demand points, and constructs a multi-objective integer programming model based on the actual situation. The model consists of two objectives: (1) the m

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Guardado, J. L., F. Rivas-Davalos, J. Torres, S. Maximov, and E. Melgoza. "An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/506769.

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Network reconfiguration is an alternative to reduce power losses and optimize the operation of power distribution systems. In this paper, an encoding scheme for evolutionary algorithms is proposed in order to search efficiently for the Pareto-optimal solutions during the reconfiguration of power distribution systems considering multiobjective optimization. The encoding scheme is based on the edge window decoder (EWD) technique, which was embedded in the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and the Nondominated Sorting Genetic Algorithm II (NSGA-II). The effectiveness of the encodin

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Manoharan, Neelamegam, Subhransu Sekhar Dash, Kurup Sathy Rajesh, and Sidhartha Panda. "Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller." International Journal of Computers Communications & Control 12, no. 4 (2017): 533. http://dx.doi.org/10.15837/ijccc.2017.4.2751.

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A hybrid invasive weed optimization and pattern search (hIWO-PS) technique is proposed in this paper to design 2 degree of freedom proportionalintegral- derivative (2-DOF-PID) controllers for automatic generation control (AGC) of interconnected power systems. Firstly, the proposed approach is tested in an interconnected two-area thermal power system and the advantage of the proposed approach has been established by comparing the results with recently published methods like conventional Ziegler Nichols (ZN), differential evolution (DE), bacteria foraging optimization algorithm (BFOA), genetic a

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Pérez-Peló, Sergio, Jesús Sánchez-Oro, Ana Dolores López-Sánchez, and Abraham Duarte. "A Multi-Objective Parallel Iterated Greedy for Solving the p-Center and p-Dispersion Problem." Electronics 8, no. 12 (2019): 1440. http://dx.doi.org/10.3390/electronics8121440.

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This paper generalizes the iterated greedy algorithm to solve a multi-objective facility location problem known as the Bi-objective p-Center and p-Dispersion problem ( B p C D ). The new algorithm is coined as Multi-objective Parallel Iterated Greedy (MoPIG) and optimizes more than one objective at the same time. The B p C D seeks to locate p facilities to service or cover a set of n demand points, and the goal is to minimize the maximum distance between facilities and demand points and, at the same time, maximize the minimum distance between all pairs of selected facilities. Computational res

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Mashwani, Wali Khan. "Comprehensive Survey of the Hybrid Evolutionary Algorithms." International Journal of Applied Evolutionary Computation 4, no. 2 (2013): 1–19. http://dx.doi.org/10.4018/jaec.2013040101.

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Multiobjective evolutionary algorithm based on decomposition (MOEA/D) and an improved non-dominating sorting multiobjective genetic algorithm (NSGA-II) is two well known multiobjective evolutionary algorithms (MOEAs) in the field of evolutionary computation. This paper mainly reviews their hybrid versions and some other algorithms which are developed for solving multiobjective optimization problems (MOPs. The mathematical formulation of a MOP and some basic definitions for tackling MOPs, including Pareto optimality, Pareto optimal set (PS), Pareto front (PF) are provided in Section 1. Section

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Meziane, Mohammed El Amine, and Noria Taghezout. "Predictive Reactive Approach for Energy-Aware Scheduling and Control of Flexible Manufacturing Processes." International Journal of Information Systems and Supply Chain Management 11, no. 4 (2018): 43–62. http://dx.doi.org/10.4018/ijisscm.2018100103.

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Manufacturing processes are responsible for a considerable amount of global energy consumption and world CO2 emissions. Reducing energy consumption during manufacturing is considered one of the most important strategies in contributing to the green supply chain. In this context, the authors propose a new predictive-reactive approach to control energy consumption during manufacturing processes. In addition to forecasting the energy needs, the proposed approach controls the uncertainty of energy volatility and limits energy waste during manufacturing processes. With the integration of this econo

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Tran Thien, Huan, Cao Van Kien, and Ho Pham Huy Anh. "Optimized stable gait planning of biped robot using multi-objective evolutionary JAYA algorithm." International Journal of Advanced Robotic Systems 17, no. 6 (2020): 172988142097634. http://dx.doi.org/10.1177/1729881420976344.

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This article proposes a new stable biped walking pattern generator with preset step-length value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is applied to derive the specified biped hip and feet positions. The two objectives related to the biped walking stability and the biped to follow the preset step-length magnitude have been fully investigated and Pareto optimal front of solutions has been acquired. To demonstrate the effectiveness and superiority of proposed multi-object

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Bai, Tao, Xia Liu, Yan-ping HA, et al. "Study on the Single-Multi-Objective Optimal Dispatch in the Middle and Lower Reaches of Yellow River for River Ecological Health." Water 12, no. 3 (2020): 915. http://dx.doi.org/10.3390/w12030915.

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Given the increasingly worsening ecology issues in the lower Yellow River, the Xiaolangdi reservoir is chosen as the regulation and control target, and the single and multi-objective operation by ecology and power generation in the lower Yellow River is studied in this paper. This paper first proposes the following three indicators: the ecological elasticity coefficient (f1), the power generation elasticity coefficient (f2), and the ecological power generation profit and loss ratio (k). This paper then conducts a multi-target single dispatching study on ecology and power generation in the lowe

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Morais, Hugo, Tiago Sousa, Rui Castro, and Zita Vale. "Multi-Objective Electric Vehicles Scheduling Using Elitist Non-Dominated Sorting Genetic Algorithm." Applied Sciences 10, no. 22 (2020): 7978. http://dx.doi.org/10.3390/app10227978.

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The introduction of electric vehicles (EVs) will have an important impact on global power systems, in particular on distribution networks. Several approaches can be used to schedule the charge and discharge of EVs in coordination with the other distributed energy resources connected on the network operated by the distribution system operator (DSO). The aggregators, as virtual power plants (VPPs), can help the system operator in the management of these distributed resources taking into account the network characteristics. In the present work, an innovative hybrid methodology using deterministic

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Lai, Yung-Liang, and Jehn-Ruey Jiang. "Pricing Resources in LTE Networks through Multiobjective Optimization." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/394082.

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The LTE technology offers versatile mobile services that use different numbers of resources. This enables operators to provide subscribers or users with differential quality of service (QoS) to boost their satisfaction. On one hand, LTE operators need to price the resources high for maximizing their profits. On the other hand, pricing also needs to consider user satisfaction with allocated resources and prices to avoid “user churn,” which means subscribers will unsubscribe services due to dissatisfaction with allocated resources or prices. In this paper, we study the pricing resources with pro

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Vijayakumar, K. "Multiobjective Optimization Methods for Congestion Management in Deregulated Power Systems." Journal of Electrical and Computer Engineering 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/962402.

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Congestion management is one of the important functions performed by system operator in deregulated electricity market to ensure secure operation of transmission system. This paper proposes two effective methods for transmission congestion alleviation in deregulated power system. Congestion or overload in transmission networks is alleviated by rescheduling of generators and/or load shedding. The two objectives conflicting in nature (1) transmission line over load and (2) congestion cost are optimized in this paper. The multiobjective fuzzy evolutionary programming (FEP) and nondominated sortin

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Swathi, V., K. Srinivasa Raju, Murari R. R. Varma, and S. Sai Veena. "Automatic calibration of SWMM using NSGA-III and the effects of delineation scale on an urban catchment." Journal of Hydroinformatics 21, no. 5 (2019): 781–97. http://dx.doi.org/10.2166/hydro.2019.033.

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Abstract The study aims at calibration of the storm water management model (SWMM) with non-dominated sorting genetic algorithm-III (NSGA-III) for urban catchment in Hyderabad, India. The SWMM parameters calibrated were Manning's roughness coefficient (N), depression storage for pervious and impervious areas (DP and Di), sub-catchment width (W), curve number (CN), drying time (dry) of soil and percentage of imperviousness (I). The efficacy of calibration was evaluated by comparing the observed and simulated peak flows and runoff using goodness-of-fit indices. The calibration takes into consider

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Guney, Kerim, and Ali Durmus. "Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/713080.

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An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls at interference directions. Pattern nulling is obtained by controlling only the amplitude, position, and phase of the antenna array elements. BSA is an innovative metaheuristic technique based on an iterative process. Various numerical examples of linear array patterns with the prescribed single, multiple, and wide nulls are given to illustrate the performance and flexibility of BSA. The results obtained by BSA are compared with the resul

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Wunderlich, Mark, Pietro Presicce, Fu-Sheng Chou, Claire Chougnet, Julio Aliberti, and James C. Mulloy. "Enhanced Myeloid and T Cell Development and Improved Functionality of Cord Blood Xenografts In the NSGS Mouse." Blood 116, no. 21 (2010): 3729. http://dx.doi.org/10.1182/blood.v116.21.3729.3729.

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Abstract Abstract 3729 The advent of NOD/SCID mouse strains lacking interleukin-2 receptor gamma (IL2RG) function (NSG and NOG mice) has greatly improved efforts to develop xenograft models of human hematopoiesis. Notably, these mice exhibit markedly reduced adaptive and innate immunity and are well suited for stable engraftment of human CD34+ cells. Importantly, these mice also allow for the development of human T cells, setting them apart from other immunodeficient strains. As a result, NSG and NOG mice are increasingly used for the building of model systems to study HIV infection, graft ver

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Preis, Ami, and Avi Ostfeld. "Multiobjective contaminant response modeling for water distribution systems security." Journal of Hydroinformatics 10, no. 4 (2008): 267–74. http://dx.doi.org/10.2166/hydro.2008.061.

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Following the events of 9/11/2001 in the US, the world public awareness to possible terrorist attacks on water supply systems has increased significantly. The security of drinking water distribution systems has become a foremost concern around the globe. Water distribution systems are spatially diverse and thus are inherently vulnerable to intentional contamination intrusions. In this study, a multiobjective optimization evolutionary model for enhancing the response against deliberate contamination intrusions into water distribution systems is developed and demonstrated. Two conflicting object

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Pandiarajan, K., and C. K. Babulal. "Fuzzy ranking based non-dominated sorting genetic algorithm-II for network overload alleviation." Archives of Electrical Engineering 63, no. 3 (2014): 367–84. http://dx.doi.org/10.2478/aee-2014-0027.

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Abstract This paper presents an effective method of network overload management in power systems. The three competing objectives 1) generation cost 2) transmission line overload and 3) real power loss are optimized to provide pareto-optimal solutions. A fuzzy ranking based non-dominated sorting genetic algorithm-II (NSGA-II) is used to solve this complex nonlinear optimization problem. The minimization of competing objectives is done by generation rescheduling. Fuzzy ranking method is employed to extract the best compromise solution out of the available non-dominated solutions depending upon i

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Scaria, George, Laura Bendzick, Leonard Shultz, and Dan S. Kaufman. "Development Of a Preclinical Human Xenograft Model For Myelodysplastic Syndrome In Immunodeficient Mice Expressing Human Growth Factors." Blood 122, no. 21 (2013): 1534. http://dx.doi.org/10.1182/blood.v122.21.1534.1534.

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Abstract Myelodysplastic syndromes (MDS) are a diverse class of hematopoietic disorders, defined by progressive bone marrow failure, myeloid dysplasia, and an increased risk of acute myeloid leukemia (AML). The development of treatments for MDS has been hampered by the lack of an adequate in vivo model of disease. Mouse xenograft models for MDS have been challenging, as samples from patients with MDS have exhibited poor engraftment when transplanted into immunodeficient mice, with little evidence of persistent disease in recipient mice. Here, we tested a novel xenograft mouse model of MDS usin

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Hemmat Esfe, Mohammad, Peyman Razi, Mohammad Hadi Hajmohammad, et al. "Optimization, modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al 2 O 3 nanofluids by NSGA-II using ANN." International Communications in Heat and Mass Transfer 82 (March 2017): 154–60. http://dx.doi.org/10.1016/j.icheatmasstransfer.2016.08.015.

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