Suchergebnisse - Evolutionary multi-objective algorithm

Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm von Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

“… An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms …”
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A multi-modal multi-objective evolutionary algorithm based on scaled niche distance von Cao, Jie, Qi, Zhi, Chen, Zuohan, Zhang, Jianlin

“… To address this issue, a novel multi-modal multi-objective evolutionary algorithm (MMEA) named MMEA-SND is proposed in this study …”
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A 3 dB SISL coupler design by multi‐objective evolutionary algorithm based on decomposition von Zhang, Yongliang, Yi, Yu, Feng, Linping, Qi, Guangfei, Zhang, Xianfang, Zhang, Xiaoping, Yang, Chen

“… ‐objective evolutionary algorithm based on decomposition (MOEA/D) is proposed. SISL technology can provide electromagnetic shielding performance and realize the low loss, lightweight, and self‐packaging. The highly time …”
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Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem von Yannibelli, Virginia, Amandi, Analía

“… ► To solve the problem, we propose a multi-objective hybrid algorithm. ► Integrating a simulated annealing algorithm and an evolutionary algorithm …”
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A Multi‐Objective Evolutionary Algorithm Based on Bilayered Decomposition for Constrained Multi‐Objective Optimization von Yasuda, Yusuke, Kumagai, Wataru, Tamura, Kenichi, Yasuda, Keiichiro

“… This paper proposes a multi‐objective evolutionary algorithm based on bilayered decomposition (MOEA/BLD …”
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A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on \epsilon -Dominance von Menchaca-Mendez, Adriana, Montero, Elizabeth, Antonio, Luis Miguel, Zapotecas-Martinez, Saul, Coello Coello, Carlos A., Riff, Maria-Cristina

“… Convergence and diversity of solutions play an essential role in the design of multi-objective evolutionary algorithms (MOEAs …”
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A surrogate archive assisted multi-objective evolutionary algorithm under limited computational budget: A surrogate archive assisted multi-objective evolutionary algorithm von Wang, Le, Fan, Qinqin, Yan, Xuefeng

“… However, there exists a substantial gap in exploring archives within surrogate-assisted multi-objective evolutionary algorithms (SAMOEAs …”
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A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems von Liu, Tianyu, Wu, Yu, Xu, He

“… Constrained multi-objective evolutionary algorithms often struggle to simultaneously achieve both objective optimization and constraint satisfaction, particularly when dealing with multi-objective …”
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Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization von Du, Ke-Jing, Li, Jian-Yu, Wang, Hua, Zhang, Jun

“… Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP …”
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Analysis of evolutionary multi-objective algorithms for data center electrical systems: Analysis of evolutionary multi-objective algorithms von Monte Sousa, Francisco, Callou, Gustavo

“… : the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO …”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems von Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“… Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems …”
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A multi-objective evolutionary algorithm for energy management of agricultural systems—A case study in Iran von Shamshirband, Shahaboddin, Khoshnevisan, Benyamin, Yousefi, Marziye, Bolandnazar, Elham, Anuar, Nor Badrul, Abdul Wahab, Ainuddin Wahid, Khan, Saif Ur Rehman

“… ) in the decision-making process simultaneously. Accordingly, the application of multi-objective genetic algorithm (MOGA …”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio von Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“… Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints …”
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A multi-objective multi-tasking evolutionary algorithm based inverse mapping and adaptive transformation strategy: IM-MFEA von Wei, Qinnan, Yang, Jingming, Hu, Ziyu, Sun, Hao, Wei, Lixin

“… To reduce the impact of negative knowledge transfer, a multi-objective multi-tasking optimization algorithm (IM-MFEA …”
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Multi-strategy multi-modal multi-objective evolutionary algorithm using macro and micro archive sets von Peng, Hu, Zhang, Sixiang, Li, Lin, Qu, Boyang, Yue, Xuezhi, Wu, Zhijian

“… Therefore, a multi-strategy multi-modal multi-objective evolutionary algorithm using macro and micro archive set (MMMEA) is proposed …”
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Hyper multi-objective evolutionary algorithm for multi-objective optimization problems von Guo, Weian, Chen, Ming, Wang, Lei, Wu, Qidi

“… Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed …”
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems von Yang, Yongkuan, Yan, Bing, Kong, Xiangsong

“… ). However, the existing constrained multi-objective optimization evolutionary algorithm (CMOEAs) face challenges in converging to the constrained pareto front …”
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RETRACTED ARTICLE: Sports mental health monitoring based on multi-objective evolutionary algorithms in the Internet of Things: Sports mental health monitoring based on multi-objective evolutionary algorithms in the Internet von Xiaoyan, Li, Yunjing, Shi, Qiang, Gao

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A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm von Qiao, Kangjia, Liang, Jing, Yu, Kunjie, Wang, Minghui, Qu, Boyang, Yue, Caitong, Guo, Yinan

“… Most constrained multi-objective evolutionary algorithms (CMOEAs) are prone to fall into the local optima due to the imbalance between objectives and constraints as well as the poor search ability of the population …”
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A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization von Xu, Ying, Xu, Chong, Zhang, Huan, Huang, Lei, Liu, Yiping, Nojima, Yusuke, Zeng, Xiangxiang

“… Most existing multiobjective evolutionary algorithms treat all decision variables as a whole to perform genetic operations and optimize all objectives with one population at the same time …”
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