Search Results - The decomposition-based multiobjective evolutionary algorithm

A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively by Liu, Yuan, Hu, Yikun, Zhu, Ningbo, Li, Kenli, Zou, Juan, Li, Miqing

“… Recently, decomposition-based multiobjective evolutionary algorithms (DMEAs) have become more prevalent than other patterns (e.g…”
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Accelerating the Decomposition-Based Multiobjective Evolutionary Algorithm via Evolutionary Direction Vector by Zhang, Jingchuan, Liu, Yaxue, Dong, Zhiming, Wang, Xianpeng

“… This paper proposes an evolutionary direction vector (EDV)-guided multiobjective evolutionary algorithm based on decomposition (MOEA/D-EDV…”
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DMOEA- \varepsilon \text : Decomposition-Based Multiobjective Evolutionary Algorithm With the \varepsilon -Constraint Framework by Chen, Jie, Li, Juan, Xin, Bin

“…). Its success has been witnessed by the multiobjective evolutionary algorithm MOEA/D and its variants…”
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Color-Coating Scheduling With a Multiobjective Evolutionary Algorithm Based on Decomposition and Dynamic Local Search by Dong, Zhiming, Wang, Xianpeng, Tang, Lixin

“… Besides, a multiobjective evolutionary algorithm (MOEA) based…”
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A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment by Dai, Cai, Lei, Xiujuan

“…Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs…”
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Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm by Wang, Luping, Zhang, Qingfu, Zhou, Aimin, Gong, Maoguo, Jiao, Licheng

“… It plays a key role in decomposition-based multiobjective evolutionary algorithms. However, many widely used decomposition approaches, originally proposed…”
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A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms by Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan

“…Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making…”
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Noise-Tolerant Techniques for Decomposition-Based Multiobjective Evolutionary Algorithms by Li, Juan, Xin, Bin, Chen, Jie, Pardalos, Panos M.

“…Over the last few decades, the decomposition-based multiobjective evolutionary algorithms (DMOEAs…”
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Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms by Jiang, Shouyong, Yang, Shengxiang, Wang, Yong, Liu, Xiaobin

“…Decomposition-based multiobjective evolutionary algorithms (MOEAs) have received increasing research interests due to their high performance for solving multiobjective optimization problems…”
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A problem transformation-based and decomposition-based evolutionary algorithm for large-scale multiobjective optimization by Xiong, Zhijian, Wang, Xiaojing, Li, Yu, Feng, Wei, Liu, Yashuang

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Decomposition based multiobjective evolutionary algorithm for PV/Wind/Diesel Hybrid Microgrid System design considering load uncertainty by Bouchekara, Houssem Rafik El-Hana, Javaid, Muhammad Sharjeel, Shaaban, Yusuf Abubakar, Shahriar, Mohammad Shoaib, Ramli, Makbul Anwari Muhammad, Latreche, Yaqoub

“… A multiobjective approach has been adopted to optimize the microgrid design. Two methodologies are available for solving such multiobjective problems…”
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A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies by Xie, Yingbo, Qiao, Junfei, Wang, Ding, Yin, Baocai

“…In the last decade, the decomposition-based multiobjective optimization evolutionary algorithm (MOEA/D…”
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Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes by Shi-Zheng Zhao, Suganthan, P. N., Qingfu Zhang

“…The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has demonstrated superior performance by winning the multiobjective optimization algorithm competition at the CEC 2009…”
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Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm by Li, Hui, Deb, Kalyanmoy, Zhang, Qingfu

“…). So far, some research efforts have been done on the use of evolutionary algorithms (EAs) for solving single objective variable-length optimization problems…”
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Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms by Zhou, Aimin, Zhang, Qingfu

“…Decomposition-based multiobjective evolutionary algorithms (MOEAs) decompose a multiobjective optimization problem into a set of scalar objective subproblems and solve them in a collaborative way…”
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Decomposition based multiobjective evolutionary algorithm with adaptive resource allocation for energy-aware welding shop scheduling problem by Wang, Ling, Wang, Jing-jing, Jiang, Enda

“…•Energy-aware welding shop scheduling problem is studied.•Decomposition based multiobjective evolutionary algorithm is proposed…”
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A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty by Qiao, Junfei, Zhou, Hongbiao, Yang, Cuili, Yang, Shengxiang

“…A multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem (MOP…”
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A Primary Theoretical Study on Decomposition-Based Multiobjective Evolutionary Algorithms by Li, Yuan-Long, Zhou, Yu-Ren, Zhan, Zhi-Hui, Zhang, Jun

“…Decomposition-based multiobjective evolutionary algorithms (MOEAs) have been studied a lot and have been widely and successfully used in practice…”
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Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy by Luo, Naili, Lin, Wu, Jin, Genmiao, Jiang, Changkun, Chen, Jianyong

“…In the decomposition-based multiobjective evolutionary algorithms (MOEA/Ds), a set of subproblems are optimized by using the evolutionary search to exploit the feasible regions…”
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Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search by Jiang, Jing, Han, Fei, Wang, Jie, Ling, Qinghua, Han, Henry, Fan, Zizhu

“…Due to the fixed and monotonous search direction, the performance of decomposition-based multiobjective evolutionary algorithms (MOEAs…”
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