A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing-Reference-Cited by-同舟云学术

A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing

Published:2008 Issue: Volume: Page:825-836
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature – PPSN X
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Author:

Trautmann Heike,Ligges Uwe,Mehnen Jörn,Preuss Mike

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-87700-4_82

Reference22 articles.

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2. Collette, Y., Siarry, P.: Multiobjective Optimization, Principles and Case Studies. Springer, Berlin (2003)

3. Deb, K., Jain, S.: Running Performance Metrics for Evolutionary Multi-Objective Optimisation. In: Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 2002), Singapore, pp. 13–20 (2002)

4. Deb, K., Pratap, A., Agarwal, S.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(8), 182–197 (2002)

5. Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. Wiley, New York (2004)

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