SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP
July 27, 2019 ยท Declared Dead ยท ๐ 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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