MultiGen: An integrated multiple-objective solution system

S. K. Mirrazavi, D. F. Jones*, M. Tamiz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)177-187
Number of pages11
JournalDecision Support Systems
Issue number2
Publication statusPublished - Oct 2003


  • Genetic algorithms
  • Goal programming
  • Multiple-objective programming


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