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28

GECCO
2009
Springer

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A stigmergy-based algorithm for black-box optimization: noisy function testbed

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A stigmergy-based algorithm for black-box optimization: noisy function testbed

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In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Diﬀerential Ant-Stigmergy Algorithm (DASA). The performance of the DASA is evaluated on the set of benchmark problems provided for Black-Box Optimization Benchmarking (BBOB) 2009, a GECCO Workshop for Real-Parameter Optimization. Benchmarking for noisy function testbed is presented. Categories and Subject Descriptors

Peter Korosec, Jurij Silc

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Black-Box Optimization | Diﬀerential Ant-Stigmergy Algorithm | GECCO 2009 | Optimization | Optimization Problems |

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Added	24 Jul 2010
Updated	24 Jul 2010
Type	Conference
Year	2009
Where	GECCO
Authors	Peter Korosec, Jurij Silc

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