Abstract
In this paper, some novel improved genetic operations are presented, several combinations of genetic operations are examined and the functions of these operations at different evolutionary stages are analyzed by numerical experiments. The essentiality of the ordering of the gene section, the significance of the evolutionary inversion operation and the importance of the selection model are discussed. Some results provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.
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Ge, H., Liang, Y., Marchese, M., Wang, L. (2006). Mechanism Design and Analysis of Genetic Operations in Solving Traveling Salesman Problems. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_69
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DOI: https://doi.org/10.1007/11816157_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
Online ISBN: 978-3-540-37273-8
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