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GECCO
2010
Springer
217views Optimization» more  GECCO 2010»
13 years 7 months ago
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from grad...
Steffen Finck, Hans-Georg Beyer
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
TRIDENTCOM
2010
IEEE
13 years 3 months ago
Towards Maximizing Wireless Testbed Utilization Using Spectrum Slicing
As experimentation becomes one of the de-facto approaches for benchmarking, researchers are turning to testbeds to test, review and verify their work. As a result, several research...
Angelos-Christos Anadiotis, Apostolos Apostolaras,...
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
195views Optimization» more  GECCO 2010»
13 years 3 months ago
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPO...
Raymond Ros