MA-ABC: A memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problems

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

Abstract

Services such as garbage collection, road gritting, street sweeping, and power line inspection can each be formulated as a capacitated arc routing problem (CARP). The traditional formulation of CARP has the goal of minimizing the total cost of the routes making up a solution. Recently, operators of such services require routes that are balanced and visually attractive in addition to low cost. Routes that are balanced are about equal in length and provide fair work assignments. Visually attractive routes are subjective, but they usually involve non-crossing routes that provide well defined service areas. These additional features are important because they address operational complexities that arise from using the routes in practice. This paper presents MA-ABC, a <u>m</u>emetic <u>a</u>lgorithm to find solutions for CARP that maximize route <u>a</u>ttractiveness and <u>b</u>alance, while minimizing total <u>c</u>ost. A novel fitness function combines route overlap with route contiguity to assess route attractiveness. MA-ABC is the first to incorporate attractiveness in a three-objective search for heuristic solutions for CARP. Experimental results on CARP benchmark instances show that MA-ABC finds a diverse set of heuristic solutions at the Pareto front, providing a wide choice for service operators to tradeoff design objectives.

Original languageEnglish (US)
Title of host publicationGECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference
PublisherAssociation for Computing Machinery, Inc
Pages1043-1051
Number of pages9
ISBN (Electronic)9781450383509
DOIs
StatePublished - Jun 26 2021
Event2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France
Duration: Jul 10 2021Jul 14 2021

Publication series

NameGECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference

Conference

Conference2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/TerritoryFrance
CityVirtual, Online
Period7/10/217/14/21

Keywords

  • Capacitated arc routing problem (CARP)
  • Evolutionary computation
  • Genetic algorithm
  • Memetic algorithm
  • Multi-objective optimization
  • Visual attractiveness

ASJC Scopus subject areas

  • Genetics
  • Computational Mathematics

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