MultiGen: an integrated multiple-objective solution system

  • Authors:
  • S. K. Mirrazavi;D. F. Jones;M. Tamiz

  • Affiliations:
  • Temposoft UK, Albany House, Market Street, Maidenhead S16 8BE, UK;School of Computer Science and Mathematics, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth PO1 2EG, UK;School of Computer Science and Mathematics, University of Portsmouth, Mercantile House, Hampshire Terrace, Portsmouth PO1 2EG, UK

  • Venue:
  • Decision Support Systems
  • Year:
  • 2003

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Abstract

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.