Abstract
A quantitative study is presented of the typical behavior of the simulated annealing algorithm based on a cooling schedule presented previously by the authors. The study is based on the analysis of numerical results obtained by systematically applying the algorithm to a 100-city traveling salesman problem. The expectation and the variance of the cost are analyzed as a function of the control parameter of the cooling schedule. A semiempirical average-case performance analysis is presented from which estimates are obtained on the expectation of the average final result obtained by the simulated annealing algorithm as a function of the distance parameter, which determines the decrement of the control parameter.
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Aarts, E.H.L., Korst, J.H.M. & van Laarhoven, P.J.M. A quantitative analysis of the simulated annealing algorithm: A case study for the traveling salesman problem. J Stat Phys 50, 187–206 (1988). https://doi.org/10.1007/BF01022991
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DOI: https://doi.org/10.1007/BF01022991