SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP

July 27, 2019 ยท Declared Dead ยท ๐Ÿ› IEEE Congress on Evolutionary Computation

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Authors Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip arXiv ID 1907.11910 Category cs.NE: Neural & Evolutionary Citations 14 Venue IEEE Congress on Evolutionary Computation Last Checked 4 months ago
Abstract
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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