Complex Sequencing Problems and Local Search Heuristics

P. Brucker, Johann L. Hurink

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

Abstract

Many problems can be formulated as complex sequencing problems. We will present problems in flexible manufacturing that have such a formulation and apply local search methods like iterative improvement, simulated annealing and tabu search to solve these problems. Computational results are reported.
Original languageUndefined
Title of host publicationMeta-Heuristics: Theory and Applications
EditorsI.H. Osman, J.P. Kelly
Place of PublicationDordrecht
PublisherKluwer Academic Publishers
Pages151-166
Number of pages16
ISBN (Print)0792397002
Publication statusPublished - 1996

Keywords

  • EWI-7638

Cite this

Brucker, P., & Hurink, J. L. (1996). Complex Sequencing Problems and Local Search Heuristics. In I. H. Osman, & J. P. Kelly (Eds.), Meta-Heuristics: Theory and Applications (pp. 151-166). Dordrecht: Kluwer Academic Publishers.
Brucker, P. ; Hurink, Johann L. / Complex Sequencing Problems and Local Search Heuristics. Meta-Heuristics: Theory and Applications. editor / I.H. Osman ; J.P. Kelly. Dordrecht : Kluwer Academic Publishers, 1996. pp. 151-166
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Brucker, P & Hurink, JL 1996, Complex Sequencing Problems and Local Search Heuristics. in IH Osman & JP Kelly (eds), Meta-Heuristics: Theory and Applications. Kluwer Academic Publishers, Dordrecht, pp. 151-166.

Complex Sequencing Problems and Local Search Heuristics. / Brucker, P.; Hurink, Johann L.

Meta-Heuristics: Theory and Applications. ed. / I.H. Osman; J.P. Kelly. Dordrecht : Kluwer Academic Publishers, 1996. p. 151-166.

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

TY - CHAP

T1 - Complex Sequencing Problems and Local Search Heuristics

AU - Brucker, P.

AU - Hurink, Johann L.

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AB - Many problems can be formulated as complex sequencing problems. We will present problems in flexible manufacturing that have such a formulation and apply local search methods like iterative improvement, simulated annealing and tabu search to solve these problems. Computational results are reported.

KW - EWI-7638

M3 - Chapter

SN - 0792397002

SP - 151

EP - 166

BT - Meta-Heuristics: Theory and Applications

A2 - Osman, I.H.

A2 - Kelly, J.P.

PB - Kluwer Academic Publishers

CY - Dordrecht

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Brucker P, Hurink JL. Complex Sequencing Problems and Local Search Heuristics. In Osman IH, Kelly JP, editors, Meta-Heuristics: Theory and Applications. Dordrecht: Kluwer Academic Publishers. 1996. p. 151-166