Computer Science – Neural and Evolutionary Computing
Scientific paper
2010-10-05
INCOM'09 IFAC, Russian Federation (2009)
Computer Science
Neural and Evolutionary Computing
Scientific paper
In This paper we present a genetic algorithm for mulicriteria optimization of a multipickup and delivery problem with time windows (m-PDPTW). The m-PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. This paper purposes a brief literature review of the PDPTW, present an approach based on genetic algorithms and Pareto dominance method to give a set of satisfying solutions to the m-PDPTW minimizing total travel cost, total tardiness time and the vehicles number.
Borne Pierre
Dridi Imen Harbaoui
Kammarti Ryan
Ksouri Mekki
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