A comparative analysis is performed on an experimental basis among four different cross-over operators. In order to exploit the benefits of the different operators, a new one (called Mixed Cross-over) is introduced, trading-off the CPU time requirements and the obtained results. A new operator is then proposed, whose goal is to include in the genetic mechanism some heuristic knowledge drawn from the already proposed local-optimization techniques. The performance of the new operator is discussed.
CITATION STYLE
Prinetto, P., Rebaudengo, M., & Reorda, M. S. (1993). Hybrid Genetic Algorithms for the Traveling Salesman Problem. In Artificial Neural Nets and Genetic Algorithms (pp. 559–566). Springer Vienna. https://doi.org/10.1007/978-3-7091-7533-0_81
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