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GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
13 years 9 months ago
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
13 years 9 months ago
Benchmarking sep-CMA-ES on the BBOB-2009 function testbed
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed. This algorithm with a multistart strategy with increasing population size solves ...
Raymond Ros
GECCO
2010
Springer
222views Optimization» more  GECCO 2010»
13 years 3 months ago
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...
Nikolaus Hansen, Raymond Ros
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 9 months 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
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 3 months ago
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPO...
Raymond Ros