Intelligent Optimization Strategies in Uncertain and Dynamic Environments

[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) Abstract

[Rohlfshagen2009b] Dynamic Evolutionary Optimisation: An Analysis of Frequency and Magnitude of Change, Rohlfshagen, Philipp, Lehre Per Kristian, and Yao Xin , Proceedings of the 2009 Genetic and Evolutionary Computation Conference (GECCO-2009), (2009) Abstract

[Rohlfshagen2009] The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation, Rohlfshagen, Philipp, and Yao Xin , Applications of Evolutionary Computing, p.745-754, (2009) Abstract

[Yu2009] Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization, Yu, Xin, Tang Ke, Chen Tianshi, and Yao Xin , Memetic Computing, Volume 1, Number 1, p.3-24, (2009) Abstract

[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) Abstract

[Handa2007] Robust Salting Route Optimization Using Evolutionary Algorithms, Handa, Hisashi, Chapman Lee, and Yao Xin , Evolutionary Computation in Dynamic and Uncertain Environments, Volume 51/2007, p.497-517, (2007) Abstract

[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) Abstract

[Branke1999] Memory Enhanced Evolutionary Algorithms for Changing Optimization Problems, Branke, Jürgen , Proceedings of the Congress on Evolutionary Computation, 6-9, Volume 3, Mayflower Hotel, Washington D.C., USA, p.1875-1882, (1999)