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arXiv · 1706.06920

Genetic Algorithm with Optimal Recombination for the Asymmetric Travelling Salesman Problem

A. V. Eremeev·Yu. V. Kovalenko
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Abstract

We propose a new genetic algorithm with optimal recombination for the asymmetric instances of travelling salesman problem. The algorithm incorporates several new features that contribute to its effectiveness: (i) Optimal recombination problem is solved within crossover operator. (ii) A new mutation operator performs a random jump within 3-opt or 4-opt neighborhood. (iii) Greedy constructive heuristic of W.Zhang and 3-opt local search heuristic are used to generate the initial population. A computational experiment on TSPLIB instances shows that the proposed algorithm yields competitive results to other well-known memetic algorithms for asymmetric travelling salesman problem.

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A. V. Eremeev, Yu. V. Kovalenko. 2017-12-19. Genetic Algorithm with Optimal Recombination for the Asymmetric Travelling Salesman Problem. https://doi.org/10.1007/978-3-319-73441-5_36

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