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GECCO
2009
Springer

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

13 years 8 months ago
A stigmergy-based algorithm for black-box optimization: noiseless function testbed
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 noiseless function testbed is presented. Categories and Subject Descriptors
Peter Korosec, Jurij Silc
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where GECCO
Authors Peter Korosec, Jurij Silc
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