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89
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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 6 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 6 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
90
Voted
GECCO
2004
Springer
15 years 5 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
116
Voted
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 3 months ago
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs), that consists in performing the evaluations of the diffe...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
99
Voted
ESANN
2004
15 years 1 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel