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» Incremental evolution strategy for function optimization
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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
14 years 2 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
RSP
2003
IEEE
169views Control Systems» more  RSP 2003»
14 years 21 days ago
Rapid Prototyping and Incremental Evolution Using SLAM
The paper shows the outlines of the SLAM system and how its design is suitable for automating rapid prototyping. The system includes a very expressive object oriented specificati...
Ángel Herranz-Nieva, Juan José Moren...
CEC
2008
IEEE
14 years 1 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
14 years 1 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen
EVOW
2009
Springer
14 years 2 months ago
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorit...
Fabien Teytaud, Olivier Teytaud