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View all- Sanyang MDurrant RKaban A(2016)How effective is Cauchy-EDA in high dimensions?2016 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2016.7744221(3409-3416)Online publication date: Jul-2016
Comparison of cauchy EDA and G3PCX algorithms on the BBOB noiseless testbed
Author: 
Petr PošíkAuthors Info & Claims
Pages 1753 - 1760
Abstract
Estimation-of-distribution algorithm equipped with Cauchy sampling distribution is compared with the generalized generation gap algorithm with parent centric crossover. Both algorithms were already presented at the 2009 black-box optimization benchmarking workshop where they often showed similar performance. This paper compares them in more detail and adds to the understanding of their key features and differences.
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P. Pošík. BBOB-benchmarking the generalized generation gap model with parent centric crossover. In GECCO '09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, pages 2321--2328, New York, NY, USA, 2009. ACM.
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Index Terms
- Comparison of cauchy EDA and G3PCX algorithms on the BBOB noiseless testbed
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July 2010
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Published: 07 July 2010
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View all- Sanyang MDurrant RKaban A(2016)How effective is Cauchy-EDA in high dimensions?2016 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2016.7744221(3409-3416)Online publication date: Jul-2016
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