Abstract
In this work, a new heuristic algorithm, named Swarm Double-Tabu Search (SDTS), has been proposed. SDTS attempts to solve the problems of NP-hard combinatorial optimization effectively and efficiently. The particle swarm and the double-tabu strategies adopted in the SDTS algorithm have got excellent search result. Simulations on Traveling Salesman Problem (TSP) were performed, and the results compared to those obtained by neural network approaches were optimal or near optimal.
Supported by Natural Science Fund (cstc-2004bb2083) of Chongqing and the Key Science & Technology Commission of Ministry of Education(104262).
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© 2005 Springer-Verlag Berlin Heidelberg
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Wen, W., Liu, G. (2005). Swarm Double-Tabu Search. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_156
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DOI: https://doi.org/10.1007/11539902_156
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
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