Computer Science ›› 2018, Vol. 45 ›› Issue (4): 76-82.doi: 10.11896/j.issn.1002-137X.2018.04.011

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Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem

SUN Qi, JIN Yan, HE Kun and XU Ling-xuan   

  • Online:2018-04-15 Published:2018-05-11

Abstract: This paper studied an NP-hard mixed capacitated general routing problem(MCGRP),which is derived from the classical vehicle routing problem(VRP) by adding the capacitated constraints and the demands on the arcs.Given a vehicle team with unlimited number,the vehicles serve the customers from the depot and need to return to the depot after completing service.The constraints are that the total load of each vehicle cannot exceed its capacity and each demand can only be served by one vehicle once.This paper aimed to provide a plan of the service route for each vehicle,so that the total travel expenses of all vehicles are minimized when the constraints are satisfied.The MCGRP has a relatively high theoretical value as well as application value.An efficient hybrid evolutionary algorithm was proposed for MCGRP.It applies a variable neighborhood tabu search with five neighborhood operators to improve the quality of solutions,and designs a route-based crossover operator to inherit the high-quality solutions so that the search efficiency can be improved.Experimental results on 23 well-known benchmark instances show that the proposed algorithm is effective for solving the MCGRP.

Key words: Metaheuristic,Vehicle routing problem,Tabu search,Hybrid evolutionary algorithm

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