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» AMaLGaM IDEAs in noisy black-box optimization benchmarking
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GECCO
2009
Springer
140views Optimization» more  GECCO 2009»
13 years 9 months ago
AMaLGaM IDEAs in noisy black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
13 years 9 months ago
AMaLGaM IDEAs in noiseless black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
13 years 9 months ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
13 years 9 months ago
A stigmergy-based algorithm for black-box optimization: noisy 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 perfor...
Peter Korosec, Jurij Silc