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Complex Sequencing Problems and Local Search Heuristics

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • EWI-7638

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