Suchergebnisse - dynamic constrained multi-objective optimization

Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism von Aliniya, Zahra, Khasteh, Seyed Hossein

“… In dynamic multi-objective optimization problems (DMOPs), objective functions, problem parameters, and constraints may change over time …”
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Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm von Zhu, Junhua, Yu, Xiaobing, Wang, Feng, Mao, Yaqi

“… This paper introduces a novel constrained dynamic multitasking multi-objective optimization algorithm (CDMTMO) to solve CMOPs …”
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Feasibility-guided momentum prediction for dynamic constrained multi-objective optimization von Li, Lin, Feng, Yiqi, Guo, Yinan, Lei, Ru, Tong, Fei, Zhang, Zuowei, Cai, Linkai

“… •Extensive experiments show superior performance in convergence and adaptability. Dynamic constrained multi-objective optimization problems (DCMOPs …”
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Penalty and prediction methods for dynamic constrained multi-objective optimization von Wang, Fengxia, Huang, Min, Yang, Shengxiang, Wang, Xingwei

“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objective functions and constraints that vary over time, requiring optimization algorithms to track the changing Pareto optimal set (POS) quickly …”
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A Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems von Bao, Qian, Wang, Maocai, Yang, Shengxiang, Dai, Guangming, Chen, Xiaoyu

“… Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints …”
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Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction von Gong, Quan, Xia, Yizhang, Zou, Juan, Hou, Zhanglu, Liu, Yuan

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Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement von Che, Wang, Zheng, Jinhua, Hu, Yaru, Zou, Juan, Yang, Shengxiang

“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objectives, constraints, and parameters that change over time …”
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Multi-objective dynamic optimization of path-constrained switched systems von Zhang, Chi, Fu, Jun

“… A multi-objective dynamic optimization algorithm is proposed for path-constrained switched systems to locate approximated local Pareto solutions with specified tolerances …”
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Constrained Multi-objective Optimization Based on Dynamic Priority and Cooperative Offspring Generation von He, Zhihui, Wang, Feng, Li, Bingdong, Zhou, Aimin

“… As the number and complexity of constraints in constrained multi-objective optimization problems (CMOPs …”
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A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation von Li, Yongchao, Jia, Heming, Li, Hongguang

“… To effectively address constrained multi-objective problems, algorithms need to strike a balance between objectives and constraints …”
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Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process von Yang, Cuie, Ding, Jinliang

“… Focusing on the operational indices optimization under uncertain environments in production process, this paper first formulates a constrained dynamic multi-objective optimization problem based …”
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A novel particle swarm optimization algorithm with local search for dynamic constrained multi-objective optimization problems von Jingxuan Wei, Liping Jia

“… In the real world, many optimization problems are dynamic constrained multi-objective optimization problems …”
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A Culture-Based Particle Swarm Optimization Framework for Dynamic, Constrained Multi-Objective Optimization von Yen, Gary G, Kadkol, Ashwin A

“… Real-world optimization problems are often dynamic, multiple objective in nature with various constraints and uncertainties …”
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Two-stage differential evolution with dynamic population assignment for constrained multi-objective optimization von Xu, Bin, Zhang, Haifeng, Tao, Lili

“… Using infeasible information to balance objective optimization and constraint satisfaction is a very promising research direction to address constrained multi-objective problems (CMOPs …”
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Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems von Helbig, Mardé, Engelbrecht, Andries P.

“… This kind of problems is referred to as dynamic multi-objective optimisation problems (DMOOPs). Most research in multi-objective optimisation …”
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A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization von Mohd Zain, Mohamad Zihin bin, Kanesan, Jeevan, Chuah, Joon Huang, Dhanapal, Saroja, Kendall, Graham

“… Due to increased search complexity in multi-objective optimization, premature convergence becomes a problem …”
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Dynamic Constrained Boundary Method for Constrained Multi-Objective Optimization von Wang, Qiuzhen, Liang, Zhibing, Zou, Juan, Yin, Xiangdong, Liu, Yuan, Hu, Yaru, Xia, Yizhang

“… ) do not fully exploit these promising infeasible solutions. In order to solve this problem, a constrained multi-objective optimization evolutionary algorithm based on the dynamic constraint boundary method is proposed (CDCBM …”
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A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning von Wang, Zheng, Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Dai, Rui

“… It increases the difficulty of solving the optimization problems. To design efficient constrained multimodal multi-objective optimization evolutionary algorithms (CMMOEAs …”
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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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Dynamic-multi-task-assisted evolutionary algorithm for constrained multi-objective optimization von Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Wang, Zheng

“… •The entire solution process is divided into exploration and exploitation stages. Compared with common multi-objective optimization problems, constrained multi-objective …”
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