GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 7 months ago
2009
Springer
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...