Co-operative Co-evolutionary System for Solving Dynamic VRPTW Problems with Crisis Situations

Authors:
Rafał Dreżewski;Łukasz Dronka;Jarosław Koźlak
Affiliations:
Department of Computer Science, AGH University of Science and Technology, Kraków, Poland;Department of Computer Science, AGH University of Science and Technology, Kraków, Poland;Department of Computer Science, AGH University of Science and Technology, Kraków, Poland
Venue:
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Year:
2007

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Abstract

Vehicle routing problems with time windows are NP-hard problems. Additional difficulties are introduced by dynamic client requests and crisis situations. One of the techniques used in order to solve such problems are evolutionary algorithms. In this paper a co-evolutionary algorithm with spatial population structure is presented. The system is verified with the use of dynamic vehicle routing problems with time windows and crisis situations.