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A comparison of simulated annealing algorithms in the scheduling of multiproduct serial batch plants
Author(s) -
Vı́ctor Ruiz Ahón,
Frederico W. Tavares,
Marcelo Castier
Publication year - 2000
Publication title -
brazilian journal of chemical engineering/brazilian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.313
H-Index - 52
eISSN - 1678-4383
pISSN - 0104-6632
DOI - 10.1590/s0104-66322000000200008
Subject(s) - simulated annealing , computer science , algorithm , tsallis statistics , scheduling (production processes) , mathematical optimization , mathematics , statistics
In this work, several simulated annealing algorithms presented in the literature as solutions to different problems were compared in the scheduling of multiproduct serial batch plants. A systematic performance study of the original algorithm, based on the Boltzmann statistics, and a recently proposed algorithm, based on the Tsallis statistics, were analyzed for three different annealing schemes. It was observed that performance (defined in terms of the number of configurations) is more sensitive to the annealing scheme than to the statistics used. We also observed that the overall performance of the simulated annealing procedure is very dependent on the parameters of the algorithm and on the kind and size of the problems. For large problems, algorithms based on the Tsallis statistics converged to the global minimum more frequently than those based on the Boltzmann statistics, although they needed a larger number of configurations to obtain the results

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