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Elephants Herding Optimization for Solving the Travelling Salesman Problem

  • Anass HossamEmail author
  • Abdelhamid Bouzidi
  • Mohammed Essaid Riffi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 912)

Abstract

This paper proposes a novel metaheuristic called Elephant Herding Optimization (EHO) to solve the Travelling Salesman Problem (TSP), which is a combinatorial optimization problem classified as NP-Hard. The EHO algorithm is bio-inspired from the natural herding behavior of elephants groups, which proved its efficiency to solve continued optimization problems. To extend the application of this algorithm, we had proposed a novel adaptation of the EHO by respecting the natural herding behavior of elephants. To test the efficiency of our proposal adaptation, we applied the adapted EHO algorithm on some benchmark instances of TSPLIB. The obtained results shows the excellent performance of the proposed method.

Keywords

Travelling Salesman Problem Elephants Herding Optimization Combinatorial optimization Metaheuristic Nature-inspired 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Anass Hossam
    • 1
    Email author
  • Abdelhamid Bouzidi
    • 1
  • Mohammed Essaid Riffi
    • 1
  1. 1.Laboratory LAROSERI, Department of Computer Science, Faculty of ScienceChouaib Doukkali UniversityEI JadidaMorocco

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