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A Memetic Cellular Genetic Algorithm for Cancer Data Microarray Feature Selection
(Institute of Electrical and Electronics Engineers, 2020-10)
Gene selection aims at identifying a -small- subset of informative genes from the initial data to obtain high predictive accuracy for classification in human cancers. Gene selection can be considered as a combinatorial ...
Cellular Genetic Algorithms: Understanding the Behavior of Using Neighborhoods
(Taylor & Francis, 2019-07-25)
In this paper, we analyze the neighborhood effect in the selection of parents on an evolutionary algorithm. In this line, we compare a cellular genetic algorithm (cGA), which intrinsically uses the neighbor notion in the ...
Cellular neural networks learning using genetic algorithm
(Universidad La Salle México, Dirección de Posgrado e Investigación, 2003-12)
In this paper an alternative to CNN learning using Genetic Algorithm is presented. The results show that it is possible to find different solutions for the cloning templates that fulfill the same objective condition. ...
A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
Money in trees: How memes, trees, and isolation can optimize financial portfolios
(Elsevier Science IncNew YorkEUA, 2012)
A Cellular Evolutionary Algorithm To Tackle Constrained Multiobjective Optimization Problems
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2020)
Computação paralela e bio-inspirada: algoritmos genéticos multipopulação e autômatos celulares híbridosParallel and bio-inspired computing: multipopulation genetic algorithms and hybrid cellular automata
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2021)
Application of a Genetic Algorithm to Optimize Purification in the Zone Refining Process
(Taylor & Francis IncPhiladelphiaEUA, 2011)