Suchergebnisse - the decomposition-based multiobjective evolution algorithm

Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy von 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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Best Member Detection and Using as Differential Evolution Crossover Operator in Decomposition-based Multiobjective Optimization Algorithm von ALTINÖZ, Ökkeş Tolga

“… Differential Evolution (DE) which is a single objective optimization algorithm can be used as crossover operator in MOEA/D …”
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Adaptive Controller Tuning Method Based on Online Multiobjective Optimization: A Case Study of the Four-Bar Mechanism von Rodriguez-Molina, Alejandro, Villarreal-Cervantes, Miguel G., Mezura-Montes, Efren, Aldape-Perez, Mario

“… based on decomposition and differential evolution, S-metric selection evolutionary multiobjective algorithm, and nondominated …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks von Jiao, Licheng, Gong, Maoguo, Ma, Wenping, Liu, Jie, Ma, Jingjing

“… In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks …”
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Multiobjective portfolio optimization via Pareto front evolution von Chen, Yi, Zhou, Aimin

“… Hence, we propose a new algorithm named F-MOEA/D, which is based on a Pareto front evolution strategy and the decomposition …”
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Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power von Biswas, Partha P., Suganthan, P.N., Qu, B.Y., Amaratunga, Gehan A.J.

“… However, most common forms of renewable sources are intermittent and uncertain. This paper proposes multiobjective economic emission power dispatch problem formulation …”
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Advancing Multispectral Image-Derived Physics-Based Bathymetry: Multiobjective Evolutionary Computation for Shallow Water Depth Retrieval von Lei, Cong, Deng, Ruru, Liu, Rong, Li, Jiayi, Guo, Yu, Yang, Junying, Hua, Zhenqun, Zhang, Ruiwu

“… The decomposition-based constrained …”
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What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation von Li, Miqing, Yao, Xin

“… The quality of solution sets generated by decomposition-based evolutionary multi-objective optimisation (EMO …”
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Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems von Li, Hong, Zhang, Qingfu, Chen, Qin, Zhang, Li, Jiao, Yong-Chang

“… This paper considers the multiobjective bilevel programming problem (MOBLPP) with multiple objective functions at the upper level and a single objective function at the lower level …”
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A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies von 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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A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively von 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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A novel adaptive control strategy for decomposition-based multiobjective algorithm von Lin, Qiuzhen, Tang, Chaoyu, Ma, Yueping, Du, Zhihua, Li, Jianqiang, Chen, Jianyong, Ming, Zhong

“… Recently, evolutionary algorithm based on decomposition (MOEA/D) has been found to be very effective and efficient for solving complicated multiobjective optimization problems (MOPs …”
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Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization von Li, Ke, Chen, Renzhi, Fu, Guangtao, Yao, Xin

“… To address this issue, this paper proposes a parameter-free constraint handling technique, a two-archive evolutionary algorithm, for constrained multiobjective optimization …”
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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization von Wang, Bing-Chuan, Li, Han-Xiong, Zhang, Qingfu, Wang, Yong

“… However, as another famous multiobjective optimization framework, decomposition-based multiobjective optimization has not received sufficient attention from constrained evolutionary optimization …”
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Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods von Zhao, Qian, Guo, Yinan, Yao, Xiangjuan, Gong, Dunwei

“… The decomposition-based multiobjective optimization algorithm (MOEA/D) is an effective method of solving a multiobjective optimization problem (MOP …”
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Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection von Lin, Qiuzhen, Wu, Zhongjian, Ma, Lijia, Gong, Maoguo, Li, Jianqiang, Coello, Carlos A. Coello

“… ) with decomposition-based transfer selection, called MMTEA-DTS. In this algorithm, all tasks are first decomposed into a set of subproblems, and then the transfer potential …”
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Noise-Tolerant Techniques for Decomposition-Based Multiobjective Evolutionary Algorithms von 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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A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm von Lin, Qiuzhen, Jin, Genmiao, Ma, Yueping, Wong, Ka-Chun, Coello Coello, Carlos A., Li, Jianqiang, Chen, Jianyong, Zhang, Jun

“… The multiobjective evolutionary algorithm (MOEA) based on decomposition transforms a multiobjective optimization problem into a set of aggregated subproblems and then optimizes them collaboratively …”
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Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots von Ji, Jing-Yu, Wong, Man Leung

“… of multiobjective optimization techniques for the solution of nonlinear equation systems. Accordingly, in this study, we use decomposition-based multiobjective optimization …”
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An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors von Asafuddoula, Md, Singh, Hemant Kumar, Ray, Tapabrata

“… Multiobjective optimization problems with more than three objectives are commonly referred to as many-objective optimization problems (MaOPs …”
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