Title | ||
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Self-Adaptive Differential Evolution Algorithm in Constrained Real-Parameter Optimization |
Abstract | ||
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Differential Evolution (DE) has been shown to be a powerful evolutionary algorithm for global optimization in many real problems. Self-adaptation has been found to be high beneficial for adjusting control parameters during evolutionary process, especially when done without any user interaction. In this paper we investigate a self-adaptive differential evolution algorithm where more DE strategies are used and control parameters F and CR are self-adapted. The performance of the self-adaptive differential evolution algorithm is evaluated on the set of 24 benchmark functions provided for the CEC2006 special session on constrained real parameter optimization. |
Year | DOI | Venue |
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2006 | 10.1109/CEC.2006.1688311 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
evolutionary computation,optimisation,constrained real-parameter optimization,control parameters,self-adaptive differential evolution algorithm | Mathematical optimization,Evolutionary algorithm,Meta-optimization,Evolutionary computation,Differential evolution,Multi-swarm optimization,Evolution strategy,CMA-ES,Imperialist competitive algorithm,Mathematics | Conference |
ISBN | Citations | PageRank |
0-7803-9487-9 | 90 | 3.76 |
References | Authors | |
11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Janez Brest | 1 | 2190 | 90.76 |
Viljem Zumer | 2 | 268 | 21.78 |
Mirjam Sepesy Maučec | 3 | 506 | 26.34 |