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A ``Futurist'' approach to dynamic environments

TitleA ``Futurist'' approach to dynamic environments
Publication TypeConference Paper
Year of Publication2001
Authorsvan Hemert, JI, Van Hoyweghen, C, Lukschandl, E, Verbeeck, K
Conference NameProceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems
PublisherMorgan Kaufmann Publishers, San Francisco
EditorBranke, J, B{\"a}ck, T
Keywordsdynamic problems

The optimization of dynamic environments has proved to be a difficult area for Evolutionary Algorithms. As standard haploid populations find it difficult to track a moving target, diffKerent schemes have been suggested to improve the situation. We study a novel approach by making use of a meta learner which tries to predict the next state of the environment, i.e. the next value of the goal the individuals have to achieve, by making use of the accumulated knowledge from past performance.

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