Abstract
This paper proposes a new coevolutionary paradigm that hybridizes competitive and cooperative mechanisms observed in nature to solve multi-objective optimization problems. The main idea of cooperationist- competitive revolution is to allow the decomposition process of the optimization problem to adapt and emerge rather than being hand designed and fixed at the start of the evolutionary optimization process. In particular, each species subpopulation will compete to represent a particular subcomponent of the multi-objective problem while the eventual winners will cooperate to evolve the better solutions. The effectiveness of the competitive-cooperation coevolutionary algorithm (COEA) is validated against various multi-objective evolutionary algorithms upon three benchmark problems characterized by different difficulties in local optimality, non-convexity and high-dimensionality. © 2007 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2007 IEEE 22nd International Symposium on Intelligent Control |
| Publisher | IEEE |
| Pages | 255-260 |
| ISBN (Electronic) | 978-1-4244-0441-4 |
| ISBN (Print) | 978-1-4244-0440-7 |
| DOIs | |
| Publication status | Published - Oct 2007 |
| Externally published | Yes |
| Event | 2007 IEEE 22nd International Symposium on Intelligent Control (ISIC 2007) - Singapore, Singapore Duration: 1 Oct 2007 → 3 Oct 2007 |
Conference
| Conference | 2007 IEEE 22nd International Symposium on Intelligent Control (ISIC 2007) |
|---|---|
| Abbreviated title | ISIC 2007 |
| Place | Singapore |
| City | Singapore |
| Period | 1/10/07 → 3/10/07 |
Fingerprint
Dive into the research topics of 'A competitive-cooperation coevolutionary paradigm for multi-objective optimization'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver