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EMO
2006
Springer
161views Optimization» more  EMO 2006»
13 years 11 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo
EUROGP
1998
Springer
113views Optimization» more  EUROGP 1998»
13 years 11 months ago
Fitness Causes Bloat: Mutation
The problem of evolving, using mutation, an artificial ant to follow the Santa Fe trail is used to study the well known genetic programming feature of growth in solution length. Kn...
William B. Langdon, Riccardo Poli
CEC
2010
IEEE
13 years 5 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
GECCO
2004
Springer
113views Optimization» more  GECCO 2004»
14 years 26 days ago
Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Ivan Tanev, Kikuo Yuta