Rotationally invariant crossover operators in evolutionary multiobjective optimization

Iorio, A and Li, X 2006, 'Rotationally invariant crossover operators in evolutionary multiobjective optimization', in T. D. Wang, X. Li, S. H. Chen, X. Wang, H, Abbass, H. Iba, G. Chen and X. Yao (ed.) Proceedings of the sixth international conference on simulated evolution and learning (SEAL 2006), Hefei, China, 12 October 2006, pp. 310-317.


Document type: Conference Paper
Collection: Conference Papers

Title Rotationally invariant crossover operators in evolutionary multiobjective optimization
Author(s) Iorio, A
Li, X
Year 2006
Conference name International Conference on Simulated Evolution and Learning
Conference location Hefei, China
Conference dates 12 October 2006
Proceedings title Proceedings of the sixth international conference on simulated evolution and learning (SEAL 2006)
Editor(s) T. D. Wang
X. Li
S. H. Chen
X. Wang
H, Abbass
H. Iba
G. Chen
X. Yao
Publisher Springer
Place of publication Berlin, Germany
Start page 310
End page 317
Abstract Multi-objective problems with parameter interactions can present difficulties to many optimization algorithms. We have investigated the behaviour of Simplex Crossover (SPX), Unimodal Normally Distributed Crossover (UNDX), Parent-centric Crossover (PCX), and Differential Evolution (DE), as possible alternatives to the Simulated Binary Crossover (SBX) operator within the NSCA-II (Non-dominated Sorting Genetic Algorithm 11) on four rotated test problems exhibiting parameter interactions. The rotationally invariant crossover operators demonstrated improved performance in optimizing the problems, over a non-rotationally invariant crossover operator.
Subjects Analysis of Algorithms and Complexity
Keyword(s) simulated evolution and learning
DOI - identifier 10.1007/11903697_40
Copyright notice © Springer-Verlag Berlin Heidelberg 2006
ISBN 978-3-540-47331-2
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