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GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
14 years 4 months ago
Evo_indent interactive evolution of GNU indent options
Evo Indent http://www.dcs.kcl.ac.uk/staff/W.Langdon/ evo_indent/ is a PHP web server based user driven genetic algorithm which finds good C code layouts generated by GNU indent. ...
William B. Langdon
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy function testbed. This algorithm with a multistart strategy with increasing population size solves 10 f...
Raymond Ros
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 4 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
14 years 4 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking the pure random search on the BBOB-2009 noisy testbed
We benchmark the Pure-Random-Search algorithm on the BBOB 2009 noisy testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space dimensi...
Anne Auger, Raymond Ros
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 4 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
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 4 months ago
BBOB-benchmarking the generalized generation gap model with parent centric crossover
The generalized generation gap (G3) model of an evolutionary algorithm equipped with the parent centric crossover (PCX) is tested on the BBOB 2009 benchmark testbed. To improve it...
Petr Posik
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
14 years 4 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
Anne Auger, Nikolaus Hansen