SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP

2019 IEEE Congress on Evolutionary Computation (CEC)(2019)

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摘要
Multiple-TSP, also abbreviated in the literature as mTSP, is an extension of the Traveling Salesman Problem that lies at the core of many variants of the Vehicle Routing problem of great practical importance. The current paper develops and experiments with Self Organizing Maps, Evolutionary Algorithms and Ant Colony Systems to tackle the MinMax formulation of the Single-Depot Multiple-TSP. Hybridization between the neural network approach and the two meta-heuristics shows to bring significant improvements, outperforming results reported in the literature on a set of problem instances taken from TSPLIB.
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关键词
neural network approach,great practical importance,ant colony systems,traveling salesman problem,vehicle routing problem,self organizing maps,evolutionary algorithms,minmax multiple-TSP,SOM-guided evolutionary search,single-depot multiple-TSP,minmax formulation
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