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.
Original language | English |
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Pages (from-to) | 177-187 |
Number of pages | 11 |
Journal | Decision Support Systems |
Volume | 36 |
Issue number | 2 |
DOIs | |
Publication status | Published - Oct 2003 |
Keywords
- Genetic algorithms
- Goal programming
- Multiple-objective programming