Accepted:
December 2004
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/vol11/bui02/ | © Copyright 2005 | |||
| Volume 11 | Received: Accepted: |
November 2004 December 2004 |
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Performance analysis of evolutionary multi–objective optimization methods in noisy environments
Lam T. Bui, Daryl Essam, Hussein A. Abbass, and David Green |
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| Abstract | |
| In this paper, we present performance comparisons between two popular elitism–based evolutionary multi-objective optimization algorithms -NSGA2 and SPEA2 in the presence ofnoise. Three test problems and six noise levels are employed in the research experiments. The results show that SPEA2 outperforms NSGA2 in the early generations. NSGA2, however, issuperior during latter generations regardless of the level of noise presence in the problem. | |
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Multimedia Links (none) Reference Links (none) Citation Reference Lam T. Bui, Daryl Essam, Hussein A. Abbass, and David Green 2005, Performance analysis of evolutionary multi–objective optimization methods in noisy environments, Complexity International, Volume 11, Paper ID: bui02, URL: http://www.complexity.org.au/vol11/bui02/ |
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