A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO
| dc.creator | Liefooghe, Arnaud | |
| dc.creator | Jourdan, Laetitia | |
| dc.creator | Talbi, El-Ghazali | |
| dc.date | 2009-04-20 | |
| dc.date.accessioned | 2026-07-07T13:05:56Z | |
| dc.date.available | 2026-07-07T13:05:56Z | |
| dc.description | This paper gives a concise overview of evolutionary algorithms for multiobjective optimization. A substantial number of evolutionary computation methods for multiobjective problem solving has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition and following the main issues of fitness assignment, diversity preservation and elitism, a conceptual global model is proposed and is validated by regarding a number of state-of-the-art algorithms as simple variants of the same structure. The presented model is then incorporated into a general-purpose software framework dedicated to the design and the implementation of evolutionary multiobjective optimization techniques: ParadisEO-MOEO. This package has proven its validity and flexibility by enabling the resolution of many real-world and hard multiobjective optimization problems. | |
| dc.identifier | https://arxiv.org/abs/0904.2987 | |
| dc.identifier | http://arxiv.org/abs/0904.2987 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/227652 | |
| dc.subject | Combinatorics | |
| dc.title | A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO | |
| dc.type | text |