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An Adaptive Local Search Algorithm for Real-Valued Dynamic Optimization
(IEEE Press, 2015-05)
This paper proposes a novel adaptive local search algorithm for tackling real-valued (or continuous) dynamic optimization problems. The proposed algorithm is a simple single-solution based metaheuristic that perturbs the ...
Population-based incremental learning with immigrants schemes in changing environments
The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. PBIL has been successfully applied to dynamic optimization problems (DOPs). It is well known ...
Evolutionary computation for dynamic optimization problems
Many real-world optimization problems are subject to dynamic environments, where changes may occur over time regarding optimization objectives, decision variables, and/or constraint conditions. Such dynamic optimization ...