A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem
Neural and Evolutionary Computing
2020-06-30 v1 Artificial Intelligence
Optimization and Control
Abstract
The Travelling Salesman Problem (TSP) is one of the most popular Combinatorial Optimization Problem. It is well solicited for the large variety of applications that it can solve, but also for its difficulty to find optimal solutions. One of the variants of the TSP is the Generalized TSP (GTSP), where the TSP is considered as a special case which makes the GTSP harder to solve. We propose in this paper a new memetic algorithm based on the well-known Breakout Local Search (BLS) metaheuristic to provide good solutions for GTSP instances. Our approach is competitive compared to other recent memetic algorithms proposed for the GTSP and gives at the same time some improvements to BLS to reduce its runtime.
Cite
@article{arxiv.1911.01966,
title = {A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem},
author = {Mehdi El Krari and Belaïd Ahiod},
journal= {arXiv preprint arXiv:1911.01966},
year = {2020}
}