Abstract
In the last decade some large scale combinatorial optimization problems have been tackled by way of a stochastic technique called ‘simulated annealing’ first proposed by Kirkpatrick et al. (1983). This technique has proved to be a valid tool to find acceptable solutions for problems whose size makes impossible any exact solution method.
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© 1994 Springer-Verlag New York, Inc.
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Serafini, P. (1994). Simulated Annealing for Multi Objective Optimization Problems. In: Tzeng, G.H., Wang, H.F., Wen, U.P., Yu, P.L. (eds) Multiple Criteria Decision Making. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2666-6_29
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DOI: https://doi.org/10.1007/978-1-4612-2666-6_29
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7626-5
Online ISBN: 978-1-4612-2666-6
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