An Evolutionary Algorithm with Heuristic Longest Cycle Crossover for Solving the Capacitated Vehicle Routing Problem

Thammarsat Visutarrom, Tsung Che Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crossover is one of the most important parts of an evolutionary algorithm (EA) for solving optimization problems. Many crossover operators have been proposed for solving the capacitated vehicle routing problem (CVRP), a classical NP-hard problem in the field of operations research. This paper aims to improve the search ability of the cycle crossover (CX). The longest cycle selection and the nearest neighbor heuristic are utilized to improve the performance. Experimental results show that the proposed heuristic longest cycle crossover (HLCX) outperforms the original CX and four other operators. Additionally, we apply a search reduction strategy in the local refinement procedure to reduce the computation time at a little cost of solution quality.

Original languageEnglish
Title of host publication2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages673-680
Number of pages8
ISBN (Electronic)9781728121536
DOIs
Publication statusPublished - 2019 Jun
Event2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Wellington, New Zealand
Duration: 2019 Jun 102019 Jun 13

Publication series

Name2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

Conference

Conference2019 IEEE Congress on Evolutionary Computation, CEC 2019
CountryNew Zealand
CityWellington
Period19/6/1019/6/13

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Keywords

  • capacitated vehicle routing problem
  • cycle crossover
  • cycle length
  • evolutionary algorithm
  • nearest neighbor

ASJC Scopus subject areas

  • Computational Mathematics
  • Modelling and Simulation

Cite this

Visutarrom, T., & Chiang, T. C. (2019). An Evolutionary Algorithm with Heuristic Longest Cycle Crossover for Solving the Capacitated Vehicle Routing Problem. In 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings (pp. 673-680). [8789946] (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2019.8789946