RESEARCH ON NOISYS AND NOISY REDUCTION STRATEGY IN IEC ALGORITHM

Journal Title: Applied Computer Letters (ACL) - Year 2017, Vol 1, Issue 2

Abstract

The noises in the individual fitness evaluation will be unfavorable to the population evolution in IEC (interactive evolutionary computation), so it restricts extensive application of the algorithm in complicated optimization problem. This paper analyzes the sources of the noises in the IEC genetic algorithm, proposes a 3-phase noisy model based on the definition of the cognition evaluation and fatigue evaluation, then gives the cognition evaluation and fatigue evaluation description based on individual Hamming distance and noisy reduction strategy based on fitness confidence, and finally gives the evolving individual fitness adjustment algorithm.

Authors and Affiliations

Lijiang Zhao

Keywords

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  • EP ID EP403954
  • DOI 10.26480/acl.02.2017.12.15
  • Views 84
  • Downloads 0

How To Cite

Lijiang Zhao (2017). RESEARCH ON NOISYS AND NOISY REDUCTION STRATEGY IN IEC ALGORITHM. Applied Computer Letters (ACL), 1(2), 12-15. https://europub.co.uk/articles/-A-403954