Abstract
Biogeography-based optimization algorithm(BBO) is a new kind of optimization algorithm based on Biogeography. It is designed based on the migration strategy of animals to solve the problem of optimization. In this paper, a new algorithm-Biogeography Migration Algorithm for Traveling Salesman Problem(TSPBMA) is presented. Migration operator is designed. It is tested on four classical TSP problems. The comparison results with the other nature inspired optimization algorithms show that TSPBMA is a very effective for TSP combination optimization. It provides a new way for this kinds of problem.
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Mo, H., Xu, L. (2010). Biogeography Migration Algorithm for Traveling Salesman Problem. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_50
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DOI: https://doi.org/10.1007/978-3-642-13495-1_50
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