SOLVING THE MULTIPLE-MACHINE WEIGHTED FLOW TIME PROBLEM USING TABU SEARCH.

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Bibliographic Details
Title: SOLVING THE MULTIPLE-MACHINE WEIGHTED FLOW TIME PROBLEM USING TABU SEARCH.
Authors: Barnes, J. Wesley1, Laguna, Manuel2
Source: IIE Transactions. Mar93, Vol. 25 Issue 2, p121-128. 8p. 4 Diagrams, 2 Charts.
Subjects: Multimachine assignments, Methods engineering, Industrial engineering, Methodology
Abstract: In this paper we discuss the development and application of a new and more powerful method for solving the multiple-machine weighted flow time problem using a basic tabu search (TS) approach. Previous methods of solution used branch and bound and are computationally limited to problems of about 25 jobs. In a set of previously published problems with 15 to 30 jobs, the new method achieved optimality in at least an order of magnitude less computation time than branch and bound first achieved the optimum. Studies of larger problems indicate that the new method maintains its ability to achieve superior solutions with only a modest growth in computational effort. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:In this paper we discuss the development and application of a new and more powerful method for solving the multiple-machine weighted flow time problem using a basic tabu search (TS) approach. Previous methods of solution used branch and bound and are computationally limited to problems of about 25 jobs. In a set of previously published problems with 15 to 30 jobs, the new method achieved optimality in at least an order of magnitude less computation time than branch and bound first achieved the optimum. Studies of larger problems indicate that the new method maintains its ability to achieve superior solutions with only a modest growth in computational effort. [ABSTRACT FROM AUTHOR]
ISSN:0740817X
DOI:10.1080/07408179308964284