Sciweavers

GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 8 months ago
Niching the CMA-ES via nearest-better clustering
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...
Mike Preuss
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 8 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2010
Springer
239views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking SPSA on BBOB-2010 noiseless function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noiseless testbed. SPSA is a stochastic gradient approximation strate...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
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...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2010
Springer
227views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking SPSA on BBOB-2010 noisy function testbed
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...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
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...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed
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...
Antonio LaTorre, Santiago Muelas, José Mar&...
GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
13 years 8 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
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...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 8 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
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 ...
María A. Franco, Natalio Krasnogor, Jaume B...
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
13 years 8 months ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel