Výsledky vyhľadávania - "constrained multi-objective optimization"

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints Autor Ma, Haiping, Wei, Haoyu, Tian, Ye, Cheng, Ran, Zhang, Xingyi

“…Constrained multi-objective optimization problems (CMOPs) are difficult to handle because objectives and constraints need to be considered simultaneously,…”
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A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems Autor Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

“…•The proposed algorithm has a higher utilization of its secondary population.•Proposed algorithm enhance cooperation appropriately to have a better…”
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Adaptive Gaining-Sharing Knowledge Region Coverage Planning for Multi-Stratospheric Airships in Complex Environments Autor Liu, Xing-han, Zhu, Ming, Zhang, Yi-fei, Chen, Tian

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Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization Autor Yang, Zan, Qiu, Haobo, Gao, Liang, Chen, Liming, Liu, Jiansheng

“…•A RBF-assisted MOEA/D framework is designed to achieve adaptive search.•Different optimization states of subproblems are effectively identified by…”
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An evolutionary multitasking algorithm based on k-nearest neighbors pre-selection strategy for constrained multi-objective optimization Autor Jiang, Mengqi, Gao, Xiaochuan, Dang, Qianlong, Ruan, Junhu

“…Evolutionary algorithms for solving constrained multi-objective optimization problems have attracted considerable attention in recent years. These algorithms…”
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A tri-population based co-evolutionary framework for constrained multi-objective optimization problems Autor Ming, Fei, Gong, Wenyin, Wang, Ling, Lu, Chao

“…•Atri-population based co-evolutionary framework is proposed for CMOPs.•These populations are co-evolved for different problems.•Experiments verified the…”
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An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions Autor Fan, Zhun, Li, Wenji, Cai, Xinye, Huang, Han, Fang, Yi, You, Yugen, Mo, Jiajie, Wei, Caimin, Goodman, Erik

“…This paper proposes an improved epsilon constraint-handling mechanism and combines it with a decomposition-based multi-objective evolutionary algorithm…”
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Constrained Multi-Objective Optimization for UAV Energy Consumption and User Satisfaction in UAV-Assisted Mobile Edge Computing Autor Chai, Xuzhao, He, Cuicui, Qu, Boyang, Yan, Li, Li, Chao, Qiao, Baihao, Liang, Jing, Wen, Pengwei, Li, Zhao, Liu, Ping, Suganthan, Ponnuthurai Nagaratnam

“…The energy consumption for unmanned aerial vehicles (UAV) and the user satisfaction in the UAV-assisted mobile edge computing (MEC) has been optimized…”
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Constrained multi-objective optimization problems: Methodologies, algorithms and applications Autor Hao, Yuanyuan, Zhao, Chunliang, Zhang, Yiqin, Cao, Yuanze, Li, Zhong

“…Constrained multi-objective optimization problems (CMOPs) are widespread in practical applications such as engineering design, resource allocation, and…”
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Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence Autor Wang, Yan, Hu, Hejuan, Sun, Xiaoyan, Zhang, Yong, Gong, Dunwei

“…An integrated coal mine energy system involves the production, transmission, conversion, storage, and consumption of multiple types of energy with complicated…”
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A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation Autor Zou, Juan, Luo, Jian, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua

“…The core element in solving constrained multi-objective problems (CMOPs) with evolutionary algorithms is simultaneously balancing objective optimization and…”
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A multi-stage multi-task evolutionary algorithm for constrained multi-objective optimization Autor Wang, Haoyu, Yu, Xiaobing, Wang, Xuming

“…Constraints in constrained multi-objective optimization problems (CMOPs) critically determine the structure of the feasible region and pose significant…”
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A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization Autor Dong, Jun, Gong, Wenyin, Ming, Fei, Wang, Ling

“…One of the key issues in solving constrained multi-objective optimization problems (CMOPs) is balancing the three indicators of convergence, diversity, and…”
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Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm Autor Qiao, Kangjia, Liang, Jing, Yu, Kunjie, Yue, Caitong, Lin, Hongyu, Zhang, Dezheng, Qu, Boyang

“…Evolutionary constrained multiobjective optimization has received extensive attention and research in the past two decades, and a lot of benchmarks have been…”
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A feasible-ratio control technique for constrained optimization Autor Jiao, Ruwang, Zeng, Sanyou, Li, Changhe

“…In constrained optimization problems (COPs), a crucial issue is that most constraint-handling evolutionary algorithms (EAs) approach the optimum either mainly…”
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A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization Autor 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,…”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“…Constrained multi-objective optimization problems (CMOPs) are common in real-world engineering application, and are difficult to solve because of the…”
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Co-design of an unmanned cable shovel for structural and control integrated optimization: A highly heterogeneous constrained multi-objective optimization algorithm Autor Pang, Yong, Hu, Zhengguo, Zhang, Shuai, Guo, Guanchen, Song, Xueguan, Kan, Ziyun

“…Unmanned cable shovel is an intelligence-based large machine used for excavating in open-pit coal mines, with significant implications for the security and…”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio Autor 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, but they…”
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An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multi-objective Optimization Autor Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei, Jin, Yaochu

“…Most existing constrained multi-objective evolutionary algorithms (CMOEAs) experience a dramatic performance degradation when solving large-scale constrained…”
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