Reconsidering constraint release for active-set evolution strategies
Author:
Affiliation:
1. Dalhousie University, Halifax, Nova Scotia, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3071178.3071294
Reference14 articles.
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2. S. Bagheri W. Konen M. Emmerich and T. Bäck. 2015. Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. arXiv:1512.09251. (2015). S. Bagheri W. Konen M. Emmerich and T. Bäck. 2015. Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. arXiv:1512.09251. (2015).
3. The CMA-ES on Riemannian Manifolds to Reconstruct Shapes in 3-D Voxel Images
4. N. Hansen D. V. Arnold and A. Auger. 2015. Evolution strategies. In Springer Handbook of Computational Intelligence J. Kacprzyk and W. Pedrycz (Eds.). Springer Verlag 871--898. N. Hansen D. V. Arnold and A. Auger. 2015. Evolution strategies. In Springer Handbook of Computational Intelligence J. Kacprzyk and W. Pedrycz (Eds.). Springer Verlag 871--898.
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