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Butterfly Mating Optimization

  • Chakravarthi Jada
  • Anil Kumar Vadathya
  • Anjumara Shaik
  • Sowmya Charugundla
  • Parabhaker Reddy Ravula
  • Kranthi Kumar Rachavarapu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 384)

Abstract

This paper presents a novel swarm intelligence algorithm named as Butterfly Mating Optimization (BMO) which is based on the mating phenomena occurring in butterflies. The BMO algorithm is developed with novel concept of dynamic local mate selection process which plays a major role in capturing multiple peaks for multimodal search spaces. This BMO algorithm was tested on 3-peaks function and various convergence plots were drawn from it. Also, BMO was tested on other benchmark functions to check and discuss thoroughly its capability in terms of capturing the local peaks. Various comparisons were made between BMO and GSO, a recent swarm algorithm for multimodal optimization problems. BMO was also tested on a function with varying dimensionality at higher level. Finally based on various assumptions through simulations, possible future work is discussed.

Keywords

Butterflies Patrolling Mating UV distribution Multimodal Optimization Glowworms Local mate selection Bfly 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Chakravarthi Jada
    • 1
  • Anil Kumar Vadathya
    • 1
  • Anjumara Shaik
    • 1
  • Sowmya Charugundla
    • 1
  • Parabhaker Reddy Ravula
    • 1
  • Kranthi Kumar Rachavarapu
    • 1
  1. 1.Rajiv Gandhi University of Knowledge TechnologiesHyderabadIndia

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