Evolution strategy: A new Time-Variant Mutation for fine local tuning

M. M.A. Hashem, Keigo Watanabe, Kiyotaka Izumi

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)


The inherent strength of the Evolution Strategy (ES) algorithm lies in the mutation operation. In this paper, a new Time-Variant Mutation (TVM) operator is proposed for fine local tuning and high precision solutions. Its action depends upon the age of the populations and its performance is quite different from the Uniform Mutation (UM) operation. The proposed approach makes it possible that the size of mutation steps (i.e., standard deviations) can be dynamically adjusted to the so called `Evolution Window'. The efficacy of the proposed TVM operator is illustrated by solving the dynamic linear-quadratic control problem (a discrete time optimal control model).

Original languageEnglish
Number of pages6
Publication statusPublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 36th SICE Annual Conference - Tokushima, Jpn
Duration: Jul 29 1997Jul 31 1997


OtherProceedings of the 1997 36th SICE Annual Conference
CityTokushima, Jpn

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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