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Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems

  • Leonid GladkovEmail author
  • Sergey Leyba
  • Nadezhda Gladkova
  • Andrey Lezhebokov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 464)

Abstract

In this paper a method of joint solutions of placement and routing problems of digital equipment elements is offered. The authors suggested a new approach on the basis of evolutionary algorithm (EA) integration and a fuzzy control model of algorithm parameters. A fuzzy logical controller structure is described in the article. A model of parallel evolutionary algorithm is developed. To synchronize parallel computations, you proposed to use a modified migration operator. To confirm the method effectiveness a brief program description is reviewed.

Keywords

Genetic algorithm Fuzzy logic Computer-aided design Optimization Parallel computing 

Notes

Acknowledgments

This research is supported by the Ministry of Education and Science of the Russian Federation, the project # 8.823.2014.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Leonid Gladkov
    • 1
    Email author
  • Sergey Leyba
    • 1
  • Nadezhda Gladkova
    • 1
  • Andrey Lezhebokov
    • 1
  1. 1.Southern Federal UniversityRostov-on-DonRussia

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