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)

[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)

[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)

[Yang2005b] Memory-based immigrants for genetic algorithms in dynamic environments, Yang, Shengxiang , GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation, New York, NY, USA, p.1115-1122, (2005)

[Novoa2009] Controlling Particle Trajectories in a Multi-swarm Approach for Dynamic Optimization Problems, Novoa, Pavel, Pelta David A., Cruz Carlos, and del Amo Ignacio García , International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, 2009, Volume 5601, Santiago de Compostela, Spain, p.285-294, (2009)

[Yang2010] Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks, Yang, Shengxiang, Cheng Hui, and Wang Fang , Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Volume 40, Issue 1, Number 99, p.52-63, (2010)

[Branke2003] Designing evolutionary algorithms for dynamic optimization problems, Branke, Jürgen, and Schmeck Hartmut , Advances in evolutionary computing: theory and applications, New York, NY, USA, p.239-262, (2003)

[Yang2006] Associative Memory Scheme for Genetic Algorithms in Dynamic Environments, Yang, Shengxiang , Applications of Evolutionary Computing, Volume 3907, p.788-799, (2006)

[Li2008] A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization, Li, Changhe, and Yang Shengxiang , Simulated Evolution and Learning, Volume 5361, p.391-400, (2008)