Intelligent Optimization Strategies in Uncertain and Dynamic Environments

[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)

[Yang2008] Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments, Yang, Shengxiang , Evolutionary Computation, Volume 16, Number 3, Cambridge, MA, USA, p.385-416, (2008)

[Simoes2003] An immune system-based genetic algorithm to deal with dynamic environments: Diversity and memory, Simões, Anabela, and Costa Ernesto , Proceedings of the Sixth international conference on neural networks and genetic algorithms (ICANNGA03), p.168-174, (2003)

[Morrison2004] Designing Evolutionary Algorithms for Dynamic Environments, Morrison, Ronald W. , (2004)

[Bui2005] Multiobjective optimization for dynamic environments, Bui, L. T., Abbass H. A., and Branke J. , Evolutionary Computation, 2005. The 2005 IEEE Congress on, Volume 3, p.2349-2356, (2005)

[Wineberg2000] Enhancing the GA's Ability to Cope with Dynamic Environments, Wineberg, M., and Oppacher F. , Genetic and Evolutionary Computation Conference, p.3-10, (2000)

[Fernandes2008] UMDAs for dynamic optimization problems, Fernandes, Carlos M., Lima Cláudio, and Rosa Agostinho C. , GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, New York, NY, USA, p.399-406, (2008)