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 |
|---|---|
| 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
Fingerprint
Dive into the research topics of 'MultiGen: An integrated multiple-objective solution system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver