Výsledky vyhledávání - "Multiobjective evolutionary algorithms"

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition Autor Trivedi, Anupam, Srinivasan, Dipti, Sanyal, Krishnendu, Ghosh, Abhiroop

“… However, the decomposition strategy was not widely employed in evolutionary multiobjective optimization until Zhang and Li proposed multiobjective evolutionary algorithm based on decomposition (MOEA/D) in 2007…”
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Indicator-Based Constrained Multiobjective Evolutionary Algorithms Autor Liu, Zhi-Zhong, Wang, Yong, Wang, Bing-Chuan

“… A promising way to solve CMOPs is to integrate multiobjective evolutionary algorithms (MOEAs) with constraint-handling techniques, and the resultant algorithms are called constrained MOEAs…”
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Constrained Monotone k -Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee Autor Qian, Chao, Shi, Jing-Cheng, Tang, Ke, Zhou, Zhi-Hua

“… In this paper, we propose a new approach which employs a multiobjective evolutionary algorithm to maximize the given objective and minimize the size simultaneously…”
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Performance Metric Ensemble for Multiobjective Evolutionary Algorithms Autor Yen, Gary G., Zhenan He

“… In the literature, a heuristic approach is often taken. For a chosen benchmark problem with specific problem characteristics, the performance of multiobjective evolutionary algorithms (MOEAs…”
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A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I Autor Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello Coello, Carlos Artemio

“… Under this context, multiobjective evolutionary algorithms are gradually finding more and more applications in the domain of data mining since the beginning of the last decade…”
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A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms Autor 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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Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems Autor Ishibuchi, Hisao, Akedo, Naoya, Nojima, Yusuke

“…We examine the behavior of three classes of evolutionary multiobjective optimization (EMO) algorithms on many-objective knapsack problems. They are Pareto…”
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A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms Autor He, Linjun, Ishibuchi, Hisao, Trivedi, Anupam, Wang, Handing, Nan, Yang, Srinivasan, Dipti

“…A real-world multiobjective optimization problem (MOP) usually has differently scaled objectives. Objective space normalization has been widely used in…”
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Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms Autor 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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Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art Autor Miguel Antonio, Luis, Coello Coello, Carlos A.

“…In the last 20 years, evolutionary algorithms (EAs) have shown to be an effective method to solve multiobjective optimization problems (MOPs). Due to their…”
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Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II Autor Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello, Carlos A. Coello

“…This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems…”
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Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms Autor Qiao, Kangjia, Yu, Kunjie, Qu, Boyang, Liang, Jing, Yue, Caitong, Ban, Xuanxuan

“…The evolutionary algorithm recommendation is catching increasing attention when solving practical application problems since different algorithms often perform…”
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Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives Autor Zheng, Weijie, Doerr, Benjamin

“…Multiobjective evolutionary algorithms are successfully applied in many real-world multiobjective optimization problems…”
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Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms Autor Bezerra, Leonardo C. T., Lopez-Ibanez, Manuel, Stutzle, Thomas

“…Multiobjective evolutionary algorithms (MOEAs) are typically proposed, studied, and applied as monolithic blocks with a few numerical parameters that need to be set…”
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Deep neural networks compression learning based on multiobjective evolutionary algorithms Autor Huang, Junhao, Sun, Weize, Huang, Lei

“…This work addresses the problem of deep neural network compression, which is a promising technique to reduce the number of network parameters and/or speed up…”
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Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review Autor Metaxiotis, K., Liagkouras, K.

“… ► Cardinality constraints and Lower and Upper bounds are the most popular constraints. In this paper we provide a review of the current state of research on Portfolio Management with the support of Multiobjective Evolutionary Algorithms (MOEAs…”
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A survey of decomposition approaches in multiobjective evolutionary algorithms Autor Wang, Jia, Su, Yuchao, Lin, Qiuzhen, Ma, Lijia, Gong, Dunwei, Li, Jianqiang, Ming, Zhong

“…Since the multiobjective evolutionary algorithm based on decomposition (MOEA/D) was proposed by Zhang and Li in 2007, this interesting framework has attracted a considerable attention from researchers…”
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Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules Autor Macedo, Luís Lobato, Godinho, Pedro, Alves, Maria João

“…•Bollinger Bands is the strategy of election with strong positive net results. Recent work has been devoted to study the use of multiobjective evolutionary algorithms (MOEAs…”
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Multiobjective evolutionary algorithms: A survey of the state of the art Autor Zhou, Aimin, Qu, Bo-Yang, Li, Hui, Zhao, Shi-Zheng, Suganthan, Ponnuthurai Nagaratnam, Zhang, Qingfu

“… By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run…”
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Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms Autor 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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