Intelligent Optimization Strategies in Uncertain and Dynamic Environments

[Yu2010] Immigrant Schemes for Evolutionary Algorithms in Dynamic Environments: Adapting the Replacement Rate, Yu, X., Tang K., and Yao X. , Science in China Series F - Information Sciences, Volume 53, p.1–11, (2010)

[Yang2007b] A Hybrid Immigrants Scheme for Genetic Algorithms in Dynamic Environments, Yang, Shengxiang, and Tinós Renato , International Journal of Automation and Computing, Volume 4, Number 3, p.243-254, (2007)

[Yang2008b] Population-Based Incremental Learning With Associative Memory for Dynamic Environments, Yang, Shengxiang, and Yao Xin , Evolutionary Computation, IEEE Transactions on, Volume 12, Number 5, p.542-561, (2008)

[Wang2009] A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems, Wang, Hongfeng, Wang Dingwei, and Yang Shengxiang , Soft Computing - A Fusion of Foundations, Methodologies and Applications, Volume 13, Number 8-9, p.763-780, (2009)

[Wang2009b] Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments, Wang, Hongfeng, Yang Shengxiang, Ip W. H., and Wang Dingwei , Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Volume 39, Number 6, p.1348-1361, (2009)

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[Ronnewinkel2001] Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems, Ronnewinkel, C., and Martinetz T. , GECCO Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, San Francisco, p.31-34, (2001)

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