Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed

Gallagher, Marcus (2009). Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed. In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO'09), Montreal, Canada, (2383-2388). 8-12 July 2009. doi:10.1145/1570256.1570332


Author Gallagher, Marcus
Title of paper Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed
Conference name 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO'09)
Conference location Montreal, Canada
Conference dates 8-12 July 2009
Proceedings title Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Place of Publication New York, United States
Publisher ACM Digital Library
Publication Year 2009
Sub-type Fully published paper
DOI 10.1145/1570256.1570332
Open Access Status
ISBN 9781605585055
Start page 2383
End page 2388
Total pages 6
Language eng
Abstract/Summary This paper presents experimental results for the BayEDAcG continuous optimization algorithm on the BBOB noisy benchmark problem suite as part of the GECCO’09 Workshop.
Keyword Benchmarking
Black-box optimization
Evolutionary computation
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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