Search Results - multi-objective evolutionary algorithm based on decomposition((moea/d OR moda/d))

MOEA/D with adaptive weight adjustment by Qi, Yutao, Ma, Xiaoliang, Liu, Fang, Jiao, Licheng, Sun, Jianyong, Wu, Jianshe

“…Recently, MOEA/D (multi-objective evolutionary algorithm based on decomposition) has achieved great success in the field of evolutionary multi-objective optimization and has attracted a lot of attention…”
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An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions by 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 (MOEA/D…”
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MOEA/D-BDN: Multimodal multi-objective evolutionary algorithm based on bi-dynamic niche strategy and adaptive weight decomposition by Zhang, Chunliang, Li, Huang, Long, Shangbin, Yue, Xia, Ouyang, Haibin, Zhu, Houyao, Li, Steven

“…•This study's key contributions are:•A Multimodal Multi-objective Evolutionary Algorithm based on Bi-dynamic Niche Strategy and Adaptive Weight Decomposition (MOEA/D-BDN) is proposed…”
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Enhancing MOEA/D with information feedback models for large-scale many-objective optimization by Zhang, Yin, Wang, Gai-Ge, Li, Keqin, Yeh, Wei-Chang, Jian, Muwei, Dong, Junyu

“… A multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a classic decomposition-based multi-objective optimization algorithm…”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems by Fan, Zhun, Fang, Yi, Li, Wenji, Cai, Xinye, Wei, Caimin, Goodman, Erik

“…), to solve constrained multi-objective optimization problems (CMOPs). In this work, the mechanism of ACDP is embedded in a decomposition-based multi-objective evolutionary algorithm (MOEA/D…”
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A two-stage evolutionary strategy based MOEA/D to multi-objective problems by Cao, Jie, Zhang, Jianlin, Zhao, Fuqing, Chen, Zuohan

“…). The MOEA/D is a very popular multi-objective optimization algorithm and has been used to solve various real world problems…”
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A Survey of Multi-objective Evolutionary Algorithm Based on Decomposition: Past and Future by Li, Ke

“… However, it was not properly studied in the context of evolutionary multi-objective optimization until the development of multi-objective evolutionary algorithm based on decomposition (MOEA/D…”
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Multi-Objective Optimization of 12-Pole Radial Active Magnetic Bearings with Preference-Based MOEA/D Algorithm by Li, Xueqing, Wang, Xiaoyuan, Shen, Haoyu

“… This paper proposes a decomposition-based and preference-based multi-objective evolutionary algorithm (MOEA/D-Pref…”
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Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization by Xu, Ying, Ding, Ou, Qu, Rong, Li, Keqin

“…•This paper models the coverage control optimization problem in WSN as a multi-objective optimization problem considering multiple objectives…”
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An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization by Ho-Huu, V., Hartjes, S., Visser, H.G., Curran, R.

“… The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been recognized as a promising method for solving multi-objective optimization problems (MOPs…”
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An improved MOEA/D algorithm with an adaptive evolutionary strategy by Wang, Wen-xiang, Li, Kang-shun, Tao, Xing-zhen, Gu, Fa-hui

“… The Multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D) overcomes the limitation of evolutionary algorithm based on a Pareto dominant relationship…”
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Multi-objective optimisation of electro–hydraulic braking system based on MOEA/D algorithm by Wang, Chunyan, Zhao, Wanzhong, Li, Wenkui, Yu, Leiyan

“… Based on this, the brake sense, energy recovery and loss are proposed as the evaluation index, and their quantitative formula are derived…”
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Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization by Yang, Zan, Qiu, Haobo, Gao, Liang, Chen, Liming, Liu, Jiansheng

“…•The performance difference of two classical decompositions has been well studied. In this paper, an adaptive surrogate-assisted MOEA/D framework (ASA-MOEA/D…”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… This paper introduces a multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism (MOEA/D-DCH…”
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An enhanced decomposition-based multi-objective evolutionary algorithm with a self-organizing collaborative scheme by Zhu, Yawen, Qin, Yuanhui, Yang, Dan, Xu, Haoyuan, Zhou, Hongbiao

“… The multi-objective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multi-objective optimization problem (MOP…”
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An improved MOEA/D for low-carbon many-objective flexible job shop scheduling problem by Wang, Zhixue, He, Maowei, Wu, Ji, Chen, Hanning, Cao, Yang

“…•A model with four objectives, minimizing the make-span, delay time, processing load rate and carbon emissions, is built.•An initialization strategy with five…”
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Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition by Zheng, Wei, Sun, Jianyong

“…Multi-objective evolutionary algorithm (MOEA) based on search space decomposition (MOEA/D-M2M…”
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Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D by Zhang, Mengxuan, Jiao, Licheng, Ma, Wenping, Ma, Jingjing, Gong, Maoguo

“… The multi-objective problems are optimized by multi-objective evolutionary algorithm with decomposition…”
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Solving multi-objective weapon-target assignment considering reliability by improved MOEA/D-AM2M by Yi, Xiaojian, Yu, Huiyang, Xu, Tao

“…) and presents an improved algorithm termed MOEA/D-iAM2M to the problem. This algorithm effectively combines the strengths of adaptive search space decomposition-based MOEA (MOEA/D-AM2M…”
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Push and pull search for solving constrained multi-objective optimization problems by Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“…: push and pull search stages. In the push stage, a multi-objective evolutionary algorithm (MOEA…”
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