Suchergebnisse - "EVOLUTIONARY algorithms"

A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms von 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 …”
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A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization von Tian, Ye, Cheng, Ran, Zhang, Xingyi, Su, Yansen, Jin, Yaochu

“… Both convergence and diversity are crucial to evolutionary many-objective optimization, whereas most existing dominance relations show poor performance in …”
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A Coevolutionary Framework for Constrained Multiobjective Optimization Problems von Tian, Ye, Zhang, Tao, Xiao, Jianhua, Zhang, Xingyi, Jin, Yaochu

“… Constrained multiobjective optimization problems (CMOPs) are challenging because of the difficulty in handling both multiple objectives and constraints. While …”
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Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes von Ishibuchi, Hisao, Setoguchi, Yu, Masuda, Hiroyuki, Nojima, Yusuke

“… Recently, a number of high performance many-objective evolutionary algorithms with systematically generated weight vectors have been proposed in the …”
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Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces von Lin, Qiuzhen, Lin, Wu, Zhu, Zexuan, Gong, Maoguo, Li, Jianqiang, Coello, Carlos A. Coello

“… This article suggests a multimodal multiobjective evolutionary algorithm with dual clustering in decision and objective spaces. One clustering is run in …”
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Generalized Multitasking for Evolutionary Optimization of Expensive Problems von Ding, Jinliang, Yang, Cuie, Jin, Yaochu, Chai, Tianyou

“… Conventional evolutionary algorithms (EAs) are not well suited for solving expensive optimization problems due to the fact that they often require a large …”
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Multiple Populations for Multiple Objectives Framework with Bias Sorting for Many-objective Optimization von Yang, Qi-Te, Zhan, Zhi-Hui, Kwong, Sam, Zhang, Jun

“… The convergence and diversity enhancement of multiobjective evolutionary algorithms (MOEAs) to efficiently solve many-objective optimization problems (MaOPs) …”
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Data-Driven Evolutionary Optimization: An Overview and Case Studies von Jin, Yaochu, Wang, Handing, Chugh, Tinkle, Guo, Dan, Miettinen, Kaisa

“… Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world …”
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A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms von Tanabe, Ryoji, Ishibuchi, Hisao

“… Multimodal multiobjective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. While decomposition-based evolutionary …”
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Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer von Ming, Fei, Gong, Wenyin, Wang, Ling, Gao, Liang

“… Solving constrained multiobjective optimization problems (CMOPs) with various features and challenges via evolutionary algorithms is very popular. Existing …”
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A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization von Song, Zhenshou, Wang, Handing, He, Cheng, Jin, Yaochu

“… Only a small number of function evaluations can be afforded in many real-world multiobjective optimization problems (MOPs) where the function evaluations are …”
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A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification von Liang, Zhengping, Wu, Tiancheng, Ma, Xiaoliang, Zhu, Zexuan, Yang, Shengxiang

“… In recent years, dynamic multiobjective optimization problems (DMOPs) have drawn increasing interest. Many dynamic multiobjective evolutionary algorithms …”
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Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons von Ma, Zhongwei, Wang, Yong

“… For solving constrained multiobjective optimization problems (CMOPs), many algorithms have been proposed in the evolutionary computation research community for …”
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Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization von Tian, Ye, Zhang, Yajie, Su, Yansen, Zhang, Xingyi, Tan, Kay Chen, Jin, Yaochu

“… Both objective optimization and constraint satisfaction are crucial for solving constrained multiobjective optimization problems, but the existing evolutionary …”
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A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization von Liu, Songbai, Lin, Qiuzhen, Li, Jianqiang, Tan, Kay Chen

“… Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, …”
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Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor von Cao, Leilei, Xu, Lihong, Goodman, Erik D., Bao, Chunteng, Zhu, Shuwei

“… Dynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs) because those problems change rapidly over time …”
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An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions von 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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Multiple Histograms-Based Reversible Data Hiding: Framework and Realization von Wang, Junxiang, Chen, Xin, Ni, Jiangqun, Mao, Ningxiong, Shi, Yunqing

“… Reversible data hiding (RDH) has unique advantage in copyright and integrity protection for multimedia contents. As a typical RDH scheme, histogram shifting …”
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A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization von Xiang, Yi, Zhou, Yuren, Li, Miqing, Chen, Zefeng

“… Taking both convergence and diversity into consideration, this paper suggests a vector angle-based evolutionary algorithm for unconstrained (with box …”
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A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization von Jiang, Shouyong, Yang, Shengxiang

“… This paper presents a new algorithm, called steady-state and generational evolutionary algorithm, which combines the fast and steadily tracking ability of …”
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