Simulated annealing

Emile Aarts, Jan Korst, Wil Michiels

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

Many problems in engineering, planning and manufacturing can be modeled as that of minimizing or maximizing a cost function over a finite set of discrete variables. This class of so-called combinatorial optimization problems has received much attention over the years and major achievements have been made in its analysis (Ausiello et al.
Original languageEnglish
Title of host publicationSearch methodologies
Place of PublicationBoston
PublisherSpringer
Pages265-286
Number of pages22
ISBN (Print)978-1-4614-6939-1
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

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Discrete Variables
Combinatorial Optimization Problem
Simulated Annealing
Cost Function
Finite Set
Manufacturing
Planning
Engineering
Class

Cite this

Aarts, E., Korst, J., & Michiels, W. (2014). Simulated annealing. In Search methodologies (pp. 265-286). Boston: Springer. https://doi.org/10.1007/978-1-4614-6940-7_10
Aarts, Emile ; Korst, Jan ; Michiels, Wil. / Simulated annealing. Search methodologies. Boston : Springer, 2014. pp. 265-286
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Aarts, E, Korst, J & Michiels, W 2014, Simulated annealing. in Search methodologies. Springer, Boston, pp. 265-286. https://doi.org/10.1007/978-1-4614-6940-7_10

Simulated annealing. / Aarts, Emile; Korst, Jan; Michiels, Wil.

Search methodologies. Boston : Springer, 2014. p. 265-286.

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Aarts E, Korst J, Michiels W. Simulated annealing. In Search methodologies. Boston: Springer. 2014. p. 265-286 https://doi.org/10.1007/978-1-4614-6940-7_10