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GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
9 years 6 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»
9 years 6 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»
9 years 6 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»
9 years 6 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»
9 years 6 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
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
9 years 6 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
9 years 6 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
9 years 6 months ago
Benchmarking the pure random search on the BBOB-2009 testbed
We benchmark the pure random search algorithm on the BBOB 2009 noise-free testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space di...
Anne Auger, Raymond Ros
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