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)

[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)

[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)

[Karaman2005] The Memory Indexing Evolutionary Algorithm for Dynamic Environments, Karaman, Aydin, Uyar Sima, and Eryigit Gülsen , Applications on Evolutionary Computing, Volume 3449, p.563-573, (2005)

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

[Pelta2009b] Simple control rules in a cooperative system for dynamic optimisation problems, Pelta, David, Cruz Carlos, and Verdegay José L. , International Journal of General Systems, 10/2009, Volume 38, Number 7, p.701-717, (2009)

[Yang2007] Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments, Yang, Shengxiang , Evolutionary Computation in Dynamic and Uncertain Environments, Volume 51/2007, p.3-28, (2007)