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» On Genetic Algorithms and Lindenmayer Systems
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EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
EVOW
2009
Springer
13 years 2 months ago
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems
In recent years, optimization in dynamic environments has attracted a growing interest from the genetic algorithm community due to the importance and practicability in real world a...
Lili Liu, Dingwei Wang, Shengxiang Yang
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...
COMSIS
2010
13 years 2 months ago
Generative 3D images in a visual evolutionary computing system
This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genet...
Hong Liu
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
13 years 11 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari