Intelligent Optimization Strategies in Uncertain and Dynamic Environments

[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)

[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)

[Esquivel2006] Hybrid particle swarm optimizer for a class of dynamic fitness landscape, Esquivel, Susana C., and Coello Coello Carlos A. , Engineering Optimization, Volume 38, Issue 8, p.873-888, (2006)

[Yang2006c] A comparative study of immune system based genetic algorithms in dynamic environments, Yang, Shengxiang , GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, New York, NY, USA, p.1377-1384, (2006)

[Cobb1990] An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuouis, Time-Dependent Nonstationary Environments, Cobb, Helen G. , Number AIC-90-001, Washington, USA, (1990)

[Tinos2007c] Continuous dynamic problem generators for evolutionary algorithms, Tinos, R., and Yang Shengxiang , Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, Sept., p.236-243, (2007)

[Tinos2008] Evolutionary programming with q-Gaussian mutation for dynamic optimization problems, Tinos, R., and Yang Shengxiang , Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on, June, p.1823-1830, (2008)

[Tinos2007b] A self-organizing random immigrants genetic algorithm for dynamic optimization problems, Tinós, Renato, and Yang Shengxiang , Genetic Programming and Evolvable Machines, Volume 8, Number 3, p.255-286, (2007)

[Yang2005] Experimental study on population-based incremental learning algorithms for dynamic optimization problems, Yang, Shengxiang, and Yao Xin , Soft Computing, Volume 9, Number 11, Berlin, Heidelberg, p.815-834, (2005)

[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)