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GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 11 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
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 11 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 11 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 11 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe
IPPS
2006
IEEE
15 years 10 months ago
Phylogenetic models of rate heterogeneity: a high performance computing perspective
Inference of phylogenetic trees using the maximum likelihood (ML) method is NP-hard. Furthermore, the computation of the likelihood function for huge trees of more than 1,000 orga...
Alexandros Stamatakis