Abstract
In this and the following chapter, we consider what approaches one should take when one is confronted with a real-world application of the TSP. What algorithms should be used under which circumstances? We are in particular interested in the case where instances are too large for optimization to be feasible. Here theoretical results can be a useful initial guide, but the most valuable information will likely come from testing implementations of the heuristics on test beds of relevant instances. This chapter considers the symmetric TSP; the next considers the more general and less well-studied asymmetric case.
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© 2007 Springer Science+Business Media, LLC
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Johnson, D.S., McGeoch, L.A. (2007). Experimental Analysis of Heuristics for the STSP. In: Gutin, G., Punnen, A.P. (eds) The Traveling Salesman Problem and Its Variations. Combinatorial Optimization, vol 12. Springer, Boston, MA. https://doi.org/10.1007/0-306-48213-4_9
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DOI: https://doi.org/10.1007/0-306-48213-4_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-44459-8
Online ISBN: 978-0-306-48213-7
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