MOAMP-Tabu search and NSGA-II for a real Bi-objective scheduling-routing problem
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文摘

The work deals with a real muti-objective optimization problem in logistics.

Two methods are proposed and analyzed.

The first one is based on MOAMP, a Tabu Search strategy for multi-objective optimization problems.

The second one is based on NSGA-II, a very well-known multi-objective genetic algorithm.

The results of computational experiences show the best performance of MOAMP-based method.

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