A cycle-based evolutionary algorithm for the fixed-charge capacitated multi-commodity network design problem

Abstract

This paper presents an evolutionary algorithm for the fixed-charge multi- commodity network design problem (MCNDP), which concerns routing multiple commodities from origins to destinations by designing a network through selecting arcs, with an objective of minimizing the fixed costs of the selected arcs plus the variable costs of the flows on each arc. The proposed algorithm evolves a pool of solutions using principles of scatter search, interlinked with an iterated local search as an improvement method. New cycle-based neighbourhood operators are presented which enable complete or partial re-routing of multiple commodities. An efficient perturbation strategy, inspired by ejection chains, is introduced to perform local compound cycle-based moves to explore different parts of the solution space. The algorithm also allows infeasible solutions violating arc capacities while forming the “ejection cycles”, and subsequently restores feasibility by systematically applying correction moves.

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ORCID for T. Bektas: orcid.org/0000-0003-0634-144X

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