MultiGen: an integrated multiple-objective solution system

This paper presents an overview of a global multiple-objective system capable of rigourously handling a wide variety of multiple-objective and goal programming (GP) models. The system has two efficient solution engines that complement one another. These are an intelligent conventional optimisation s...

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Bibliographic Details
Published inDecision Support Systems Vol. 36; no. 2; pp. 177 - 187
Main Authors Mirrazavi, S.K., Jones, D.F., Tamiz, M.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.10.2003
Elsevier Sequoia S.A
Subjects
Algorithms
Genetic algorithms
Goal programming
Multiple-objective programming
Studies
Multiple-objective programming
Goal programming
Genetic algorithms
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Summary:This paper presents an overview of a global multiple-objective system capable of rigourously handling a wide variety of multiple-objective and goal programming (GP) models. The system has two efficient solution engines that complement one another. These are an intelligent conventional optimisation system and a genetically driven heuristic search-based solver. The development of a linear and nonlinear sparse storage system capable of handling additional multiple-objective factors such as priority levels, goals, objectives, and upper and lower bounds is described. An appropriate input/output style for multiple-objective programmes is given. The resulting package provides an efficient and user-friendly environment for the interactive solution and analysis of a wide variety of multiple-objective programming (MOP) models.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0167-9236
1873-5797
DOI:10.1016/S0167-9236(02)00135-5