Evolutionary Algorithm for the Vehicles Routing Problem with Time Windows Based on a Constraint Satisfaction Technique

Marco Antonio Cruz Chávez, Ocotlán Díaz Parra


In this paper a Memetic Algorithm (MA) is proposed for solving the Vehicles Routing Problem with Time Win-dows (VRPTW) multi-objective, using a constraint satisfaction heuristic that allows pruning of the search space to direct a search towards good solutions that represent the individuals of the population. An evolutionary heuristic is applied in order to establish the crossover and mutation between sub-routes. The results of MA demonstrate that the use of Constraints Satisfaction Technique permits MA to work more efficiently in the VRPTW.


Memetic algorithm (GA-PCP); Constraints Satisfaction Problem; Precedence Constraint Posting; lo-cal search; VRPTW.

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