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» The directional EDA for global optimization
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 5 months ago
The directional EDA for global optimization
This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the curr...
Pedro P. Mayorga-Alvarez, Arturo Hernández ...
CEC
2008
IEEE
13 years 11 months ago
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...
Weishan Dong, Xin Yao
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 5 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
13 years 10 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
13 years 10 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf