Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking-Reference-Cited by-同舟云学术

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking

Published:2016-07-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference 2016
language:
Short-container-title:

Author:

Ait ElHara Ouassim¹,Auger Anne²,Hansen Nikolaus²

Affiliation:

1. Université Paris-Sud, Orsay, France

2. Inria Saclay--Ile-de-France, Palaiseau, France

Funder

Agence Nationale de la Recherche

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2908812.2908937

Reference7 articles.

1. Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking

2. Numbbo/coco: Comparing continuous optimizers github repository. https://github.com/numbbo/coco. Accessed: 2016-01--26. Numbbo/coco: Comparing continuous optimizers github repository. https://github.com/numbbo/coco. Accessed: 2016-01--26.

3. N. Hansen A. Auger O. Mersmann T. Tu\v sar and D. Brockhoff. COCO: A platform for comparing continuous optimizers in a black-box setting. ArXiv e-prints arXiv:1603.08785 2016. N. Hansen A. Auger O. Mersmann T. Tu\v sar and D. Brockhoff. COCO: A platform for comparing continuous optimizers in a black-box setting. ArXiv e-prints arXiv:1603.08785 2016.

4. Nikolaus Hansen. CMA-ES Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in python. https://pypi.python.org/pypi/cma. Accessed: 2016-01--26. Nikolaus Hansen. CMA-ES Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in python. https://pypi.python.org/pypi/cma. Accessed: 2016-01--26.

5. Completely Derandomized Self-Adaptation in Evolution Strategies

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4. Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking;Proceedings of the Genetic and Evolutionary Computation Conference 2016;2016-07-20