Suchergebnisse - Constrained multi/many-objective optimization

Adaptive Multi/Many-Objective Transformation for Constrained Optimization von Li, Genghui, Wang, Zhenkun, Gao, Weifeng, Cui, Laizhong, Zhang, Qingfu

“… Transforming a constrained optimization problem (COP) into a multi/many-objective optimization problem (MOP/MaOP …”
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A Constrained Multi/Many-Objective Particle Swarm Optimization Algorithm With a Two-Level Balance Scheme von Yang, Wusi, Chen, Li, Li, Yanyan, Zhang, Jue

“… For the constrained multi/many-objective optimization problem, a particle swarm optimization algorithm based on a two-level balance strategy is proposed …”
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A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization von Han, Dong, Du, Wenli, Jin, Yaochu, Du, Wei, Yu, Guo

“… The challenge in solving constrained multi-objective optimization problems (CMOPs) is how to balance minimizing objectives and satisfying constraints, especially when the infeasible region is very large …”
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Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems von Asafuddoula, Md, Ray, Tapabrata, Isaacs, Amitay, Singh, Hemant Kumar

“… objectives and a set of multi/many-objective constrained engineering design optimization problems …”
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A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization von Habib, Ahsanul, Singh, Hemant Kumar, Chugh, Tinkle, Ray, Tapabrata, Miettinen, Kaisa

“… Many-objective optimization problems (MaOPs) contain four or more conflicting objectives to be optimized …”
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A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm von Liu, Songbai, Lin, Qiuzhen, Tan, Kay Chen, Gong, Maoguo, Coello Coello, Carlos A.

“… ) shapes of multi/many-objective optimization problems (MOPs), as their adopted weight vectors may not properly fit the PF shapes …”
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Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations von Zhou, Yuren, Xiang, Yi, He, Xiaoyu

“… Constrained multiobjective optimization abounds in practical applications and is gaining growing attention in the evolutionary computation community …”
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A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization von Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming

“… The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise …”
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Voting enabled dynamic constraint handling portfolios for evolutionary multi/many-objective optimization von Zhou, Jiajun, Liu, Zhao, Li, Yongxiang, Lu, Chao, Gao, Liang

“… Constraint handling technique (CHT) plays a key role in handling constrained multi-objective optimization problems (CMOPs …”
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A survey on evolutionary computation for complex continuous optimization von Zhan, Zhi-Hui, Shi, Lin, Tan, Kay Chen, Zhang, Jun

“… any-constraints, and M any-costs. We term these as 5-M challenges that exist in large-scale optimization problems, dynamic optimization problems, multi-modal optimization problems, multi-objective optimization problems, many …”
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Dynamic-multi-task-assisted evolutionary algorithm for constrained multi-objective optimization von Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Wang, Zheng

“… optimization problems demand additional consideration of the treatment of constraints. Recently, many constrained multi-objective evolutionary algorithms …”
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A constrained multi-objective evolutionary algorithm with two-stage resources allocation von Xia, Mingming, Chong, Qing, Dong, Minggang

“… The tradeoff between feasibility and optimality is critical to handling constrained multi-objective optimization problems (CMOPs …”
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A multi-population evolutionary algorithm based on knowledge transfer for constrained many-objective optimization von Ge, Wenlong, Zhang, Shanxin, Song, Weida, Wang, Wei

“… Here, a novel Constrained Many-objective Optimization Evolutionary Algorithm (CMaOEA) based on Multi-population, Knowledge transfer and Improved environmental selection called CMaMKI is proposed to handle CMaOPs …”
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A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization von Zhang, Wenjuan, Liu, Jianchang, Zhang, Wei, Liu, Yuanchao, Tan, Shubin

“… Due to the widespread existence of constrained multi-objective optimization problems (CMOPs …”
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Battery thermal management of intelligent-connected electric vehicles at low temperature based on NMPC von Ma, Yan, Ding, Hao, Liu, Yongqin, Gao, Jinwu

“… An optimization strategy for low temperature heating of intelligent-connected electric vehicle battery pack is proposed in this paper …”
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A multi-input and three-output wind speed point-interval prediction system based on constrained many-objective optimization problem von Lv, Mengzheng, Wang, Jianzhou, Wang, Shuai, Wang, Kang, Zhao, Yang, Gao, Jialu

“… and uncertainty analysis, thereby affecting prediction efficiency. To address these issues, this paper presents a novel three-output wind speed prediction system via constrained multi-objective optimization …”
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Handling constrained many-objective optimization problems via determinantal point processes von Ming, Fei, Gong, Wenyin, Li, Shuijia, Wang, Ling, Liao, Zuowen

“… Although various research studies have been performed to solve constrained multi-objective optimization and many-objective optimization problems, more attention should be paid to the widely existing …”
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Online intensification of search around solutions of interest for multi/many-objective optimization von Ray, Tapabrata, Singh, Hemant Kumar, Habib, Ahsanul, Rodemann, Tobias, Olhofer, Markus

“… In practical multi/many-objective optimization problems, a decision maker is often only interested in a handful of solutions of interest (SOI …”
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A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems von McNulty, Alanna, Ombuki-Berman, Beatrice, Engelbrecht, Andries

“… These problems are referred to as constrained multi-objective optimization problems (CMOPs). Many meta-heuristics for solving CMOPs, called constrained multi-objective meta-heuristics (CMOMHs …”
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A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems von Long, Wenyi, Wang, Peng, Dong, Huachao, Li, Jinglu, Fu, Chongbo

“… Surrogate-assisted multi-objective optimization algorithms have attracted widespread attention due to their outstanding performance in computationally expensive real-world problems …”
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