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检索条件"主题词=multi-operator algorithms"
6 条 记 录,以下是1-10 订阅
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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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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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A self-adaptive combined strategies algorithm for constrained optimization using differential evolution
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APPLIED MATHEMATICS AND COMPUTATION 2014年 241卷 267-282页
作者: Elsayed, Saber M. Sarker, Ruhul A. Essam, Daryl L. Univ New S Wales Sch Engn & Informat Technol Canberra ACT Australia
There are a huge number of differential evolution variants that have been proposed in the literature for solving constrained problems. However, none of them was considered as being a well-accepted approach for solving... 详细信息
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An enhanced multi-operator differential evolution algorithm for tackling knapsack optimization problem
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NEURAL COMPUTING & APPLICATIONS 2023年 第18期35卷 13359-13386页
作者: Sallam, Karam M. Abohany, Amr A. Rizk-Allahi, Rizk M. Univ Canberra Fac Sci & Technol Sch IT & Syst Bruce ACT 2601 Australia Kafrelsheikh Univ Fac Comp & Informat Kafr El Shaikh Egypt Menoufia Univ Fac Engn Dept Basic Engn Sci Shibin Al Kawm 32511 Egypt
The knapsack problem (KP) is a discrete combinatorial optimization problem that has different utilities in many fields. It is described as a non-polynomial time (NP) problem and has several applications in many fields... 详细信息
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Heuristic Embedded Genetic Algorithm for Heterogeneous Project Scheduling Problems
Heuristic Embedded Genetic Algorithm for Heterogeneous Proje...
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IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Mahmud, Firoz Zaman, Forhad Sarker, Ruhul Essam, Daryl Univ New South Wales Sch Engn & Informat Technol Canberra ACT Australia
Over the last few decades, many solution approaches have been developed for solving different variants of resource-constrained project scheduling problems (RCPSPs). In most of them, it is assumed that a project consis... 详细信息
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