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A dynamic clustering based differential evolution algorithm for global optimization

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  • Wang, Yong-Jun
  • Zhang, Jiang-She
  • Zhang, Gai-Ying

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  • Wang, Yong-Jun & Zhang, Jiang-She & Zhang, Gai-Ying, 2007. "A dynamic clustering based differential evolution algorithm for global optimization," European Journal of Operational Research, Elsevier, vol. 183(1), pages 56-73, November.
    • Handle: RePEc:eee:ejores:v:183:y:2007:i:1:p:56-73
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    References listed on IDEAS

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    1. Liu, Bo & Wang, Ling & Jin, Yi-Hui & Tang, Fang & Huang, De-Xian, 2005. "Improved particle swarm optimization combined with chaos," Chaos, Solitons & Fractals, Elsevier, vol. 25(5), pages 1261-1271.
    2. Chelouah, Rachid & Siarry, Patrick, 2003. "Genetic and Nelder-Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions," European Journal of Operational Research, Elsevier, vol. 148(2), pages 335-348, July.
    3. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    4. Chelouah, Rachid & Siarry, Patrick, 2005. "A hybrid method combining continuous tabu search and Nelder-Mead simplex algorithms for the global optimization of multiminima functions," European Journal of Operational Research, Elsevier, vol. 161(3), pages 636-654, March.
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    Cited by:

    1. Mena, Rodrigo & Hennebel, Martin & Li, Yan-Fu & Zio, Enrico, 2014. "Self-adaptable hierarchical clustering analysis and differential evolution for optimal integration of renewable distributed generation," Applied Energy, Elsevier, vol. 133(C), pages 388-402.
    2. Duc-Hoc Tran & Jui-Sheng Chou & Duc-Long Luong, 2022. "Optimizing non-unit repetitive project resource and scheduling by evolutionary algorithms," Operational Research, Springer, vol. 22(1), pages 77-103, March.

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