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)

[Rohlfshagen2010] Dynamic combinatorial optimisation problems: an analysis of the subset sum problem, Rohlfshagen, Philipp, and Yao Xin , Soft Computing - A Fusion of Foundations, Methodologies and Applications, p.1-12, (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)

[Wang2009c] A Particle Swarm Optimization Based Memetic Algorithm for Dynamic Optimization Problems, Wang, Hongfeng, Yang Shengxiang, Ip W. H., and Wang Dingwei , Natural Computing, (2009)

[Mattfeld2004] An efficient genetic algorithm for job shop scheduling with tardiness objectives, Mattfeld, Dirk C., and Bierwirth Christian , European Journal of Operational Research, Volume 155, Number 3, p.616-630, (2004)

[Stanhope1999] (1+1) Genetic Algorithm Fitness Dynamics in a Changing Environment, Stanhope, S. A., and Daida J. M. , Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, Volume 3, p.1851-1858, (1999)

[Guntsch2001] An Ant Colony Optimization Approach to Dynamic TSP, Guntsch, Michael, Middendorf Martin, and Schmeck Hartmut , Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 7-11 July, San Francisco, California, USA, p.860-867, (2001)