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» Benchmarking the NEWUOA on the BBOB-2009 function testbed
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 7 hour ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and ...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 7 hour ago
Application of a simple binary genetic algorithm to a noiseless testbed benchmark
One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasin...
Miguel Nicolau
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 7 hour 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 perfor...
Peter Korosec, Jurij Silc
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 7 hour 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
GECCO
2010
Springer
175views Optimization» more  GECCO 2010»
14 years 5 days ago
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed
We implement a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. We benchmark the IPOP-aCMA-ES and compare the perfor...
Nikolaus Hansen, Raymond Ros