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Firefly Algorithm and Grey Wolf Optimizer for Constrained Real-Parameter Optimization

  • Luis Rodríguez
  • Oscar CastilloEmail author
  • Mario García
  • José Soria
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1000)

Abstract

The main goal of this paper is to present the performance of two popular algorithms, the first is the Firefly Algorithm (FA) and the second one is the Grey Wolf Optimizer (GWO) algorithm for complex problems. In this case the problems that we are presenting are of the CEC 2017 Competition on Constrained Real-Parameter Optimization in order to realize a brief analysis, study and comparison between the FA and GWO algorithms respectively.

Keywords

Grey Wolf Optimizer Firefly Algorithm Constraints Complex problems Study Optimization 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Luis Rodríguez
    • 1
  • Oscar Castillo
    • 1
    Email author
  • Mario García
    • 1
  • José Soria
    • 1
  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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