Space Partitioning Evolutionary Many-Objective Optimization: Performance Analysis on MNK-Landscapes
Author:
Affiliation:
1. International Young Researcher Empowerment Center Shinshu University, Faculty of Engineering, 4-17-1 Wakasato, Nagano, 380-8553 JAPAN
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
http://www.jstage.jst.go.jp/article/tjsai/25/2/25_2_363/_pdf
Reference30 articles.
1. [Aguirre 04] H. Aguirre and K. Tanaka, ``Insights on Properties of Multiobjective MNK-Landscapes'', Proc. 2004 IEEE Congress on Evolutionary Computation, IEEE Service Center, pp.196--203, 2004.
2. Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes
3. Working principles, behavior, and performance of MOEAs on MNK-landscapes
4. Robust Optimization by ε-Ranking on High Dimensional Objective Spaces
5. [Aguirre 09a] H. Aguirre and K. Tanaka, ``Adaptive epsilon-Ranking on MNK-Landscapes'', Proc. 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2009.
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