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Superior Relation Based Firefly Algorithm in Superior Solution Set Search

  • Hongran WangEmail author
  • Kenichi Tamura
  • Junichi Tsuchiya
  • Keiichiro Yasuda
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 942)

Abstract

For many single objective optimization methods, they have only one global optimal solution or suboptimal solution. In this paper, we propose a superior solution set search problem as an optimization problem to simultaneously find multiple excellent solutions in multimodal functions. In addition, we analyzed the search characteristics of Firefly Algorithm (FA), which has a fundamental nature of a Superior Solution Set Search Problem, previously defined in our previous study for single-objective optimization problems. In this paper, we proposed a new FA method based on the former problem. This method, which employs cluster information by K-means clustering, is tested for performance by fundamental numerical experiments.

Keywords

Metaheuristics Single-objective optimization Superior Solution Set Search Problem Cluster K-means clustering Firefly Algorithm 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hongran Wang
    • 1
    Email author
  • Kenichi Tamura
    • 1
  • Junichi Tsuchiya
    • 1
  • Keiichiro Yasuda
    • 1
  1. 1.Tokyo Metropolitan UniversityHachioji-shiJapan

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