SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP
Neural and Evolutionary Computing
2019-07-30 v1
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.
Keywords
Cite
@article{arxiv.1907.11910,
title = {SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP},
author = {Vlad-Ioan Lupoaie and Ivona-Alexandra Chili and Mihaela Elena Breaban and Madalina Raschip},
journal= {arXiv preprint arXiv:1907.11910},
year = {2019}
}
Comments
8 pages, 12 figures, 2 tables, CEC 2019