GECCO
2010
Springer
14 years 3 months ago
2010
Springer
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noiseless testbed. SPSA is a stochastic gradient approximation strate...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
In this contribution, a hybrid algorithm combining Differential Evolution and IPOP-CMA-ES is presented and benchmarked on the BBOB 2010 noiseless testbed. The hybrid algorithm ha...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
GECCO
2010
Springer
14 years 3 months ago
2010
Springer
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...