Article ID: | iaor20051521 |
Country: | United Kingdom |
Volume: | 36 |
Issue: | 2 |
Start Page Number: | 219 |
End Page Number: | 236 |
Publication Date: | Apr 2004 |
Journal: | Engineering Optimization |
Authors: | Coello Carlos A. Coello, Becerra Ricardo Landa |
Keywords: | programming: nonlinear |
This paper introduces a cultural algorithm that uses domain knowledge to improve the performance of an evolutionary programming technique adopted for constrained optimization. The proposed approach extracts domain knowledge during the evolutionary process and builds a map of the feasible region to guide the search more efficiently. Additionally, in order to have a more efficient memory management scheme, the current implementation uses 2