Abstract
Hybridization is confirmed as an effective way of combining the best properties of different algorithms and achieving better performances. A framework of hybrid crossover is constructed and combined with clonal selection algorithm (CSA). The new crossover solutions are generated by the mutual influence of both high affinity and low affinity solutions. Simulation results based on the traveling salesman problems demonstrate the effectiveness of the hybridization.
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CITATION STYLE
Dai, H., Yang, Y., & Li, C. (2016). Hybrid crossover based clonal selection algorithm and its applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9937 LNCS, pp. 468–475). Springer Verlag. https://doi.org/10.1007/978-3-319-46257-8_50
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