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检索条件"主题词=Multi-method algorithms"
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Adaptive Configuration of evolutionary algorithms for constrained optimization
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APPLIED MATHEMATICS AND COMPUTATION 2013年 222卷 680-711页
作者: Elsayed, Saber M. Sarker, Ruhul A. Essam, Daryl L. Univ New S Wales Sch Engn & Informat Technol Canberra ACT Australia
In the literature, many different evolutionary algorithms (EAs) with different search operators have been reported for solving optimization problems. However, no single algorithm is consistently able to solve all type... 详细信息
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Testing United multi-Operator Evolutionary algorithms on the CEC2014 Real-Parameter Numerical Optimization
Testing United Multi-Operator Evolutionary Algorithms on the...
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IEEE Congress on Evolutionary Computation (CEC)
作者: Elsayed, Saber M. Sarker, Ruhul A. Essam, Daryl L. Hamza, Noha M. Univ New S Wales Sch Engn & Informat Technol Canberra ACT Australia
This paper puts forward a proposal for combining multi-operator evolutionary algorithms (EAs), in which three EAs, each with multiple search operators, are used. During the evolution process, the algorithm gradually e... 详细信息
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United multi-Operator Evolutionary algorithms
United Multi-Operator Evolutionary Algorithms
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IEEE Congress on Evolutionary Computation (CEC)
作者: Elsayed, Saber M. Sarker, Ruhul A. Essam, Daryl L. Univ New S Wales Sch Informat Technol & Engn Canberra ACT Australia
multi-method and multi-operator evolutionary algorithms (EAs) have shown superiority to any single EAs with a single operator. To further improve the performance of such algorithms, in this research study, a united mu... 详细信息
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