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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 9 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 ...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 9 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 9 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 9 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 9 months ago
An analysis of multi-sampled issue and no-replacement tournament selection
Standard tournament selection samples individuals with replacement. The sampling-with-replacement strategy has its advantages but also has issues. One of the commonly recognised i...
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Jo...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
13 years 9 months ago
Improving small population performance under noise with viral infection + tropism
Yuji Sato, David E. Goldberg, Kumara Sastry
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 9 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...