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Learning environment dynamics from self-adaptation: a preliminary investigation

Published:25 June 2005Publication History

ABSTRACT

We present an experimental study that shows a relationship between the dynamics of the environment and the adaptation of strategy parameters. Experiments conducted on two adaptive evolutionary strategies SA-ES and CMA-ES on the dynamic sphere function, show that the nature of the movements of the function's optimum are reflected in the evolution of the mutation steps. Three types of movements are presented: constant, linear and quadratic velocity, in all, the evolution of mutation steps during adaptation reflect distinctly the nature of the movements. Furthermore with CMA-ES, the direction of movement of the optimum can be extracted.

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  1. Learning environment dynamics from self-adaptation: a preliminary investigation

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          cover image ACM Conferences
          GECCO '05: Proceedings of the 7th annual workshop on Genetic and evolutionary computation
          June 2005
          431 pages
          ISBN:9781450378000
          DOI:10.1145/1102256

          Copyright © 2005 ACM

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          Publication History

          • Published: 25 June 2005

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