Abstract
In this paper, we propose a new constraint handling approach that transforms constrained optimization problem of any number of constraints into a two objective preference optimization problem. We design a new crossover operator based on uniform design methods ([8]), a new mutation operator using local search and preference, and a new selection operator based on the preference of the two objectives. The simulation results indicate the proposed algorithm is effective.
Original language | English |
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Title of host publication | Computational Intelligence and Security - International Conference, CIS 2005, Proceedings |
Publisher | Springer Verlag |
Pages | 184-191 |
Number of pages | 8 |
ISBN (Print) | 3540308180, 9783540308188 |
DOIs | |
Publication status | Published - 2005 |
Event | 2005 International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China Duration: 15 Dec 2005 → 19 Dec 2005 https://link.springer.com/book/10.1007/11596448 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 3801 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 2005 International Conference on Computational Intelligence and Security, CIS 2005 |
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Country/Territory | China |
City | Xi'an |
Period | 15/12/05 → 19/12/05 |
Internet address |
Scopus Subject Areas
- Theoretical Computer Science
- General Computer Science