Self-adaptive differential evolution algorithm using population size reduction and three strategies-Reference-Cited by-同舟云学术

Self-adaptive differential evolution algorithm using population size reduction and three strategies

Published:2010-09-16 Issue:11 Volume:15 Page:2157-2174
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Brest Janez,Maučec Mirjam Sepesy

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-010-0644-5.pdf

Reference50 articles.

1. Auger A, Hansen N (2005) A restart CMA evolution strategy with increasing population size. In: Proceedings of the 2005 IEEE Congress on evolutionary computation, IEEE Press, pp 1769–1776

2. van den Bergh F, Engelbrecht AP (2004) A cooperative approach to particle swarm optimisation. IEEE Trans Evol Comput 3:225–239

3. Brest J (2009) Constrained real-parameter pptimization with ε-self-adaptive differential evolution. Stud Comput Intell. ISBN: 978-3-642-00618-0 198:73–93

4. Brest J, Maučec MS (2008) Population size reduction for the differential evolution algorithm. Appl Intell 29(3):228–247

5. Brest J, Greiner S, Bošković B, Mernik M, Žumer V (2006a) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10(6):646–657

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