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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 ...
Global optimization using a genetic algorithm with hierarchically structured population
(Elsevier Science BvAmsterdamHolanda, 2014)
Community detection by consensus genetic-based algorithm for directed networks
(Wiley-Blackwell, 2016)
Finding communities in networks is a commonly used form of network analysis. There is a myriad of community detection algorithms in the literature to perform this task. In spite of that, the number of community detection ...
Genetic algorithms for the no-wait flowshop sequencing problem with time restrictions
(Taylor & Francis LtdAbingdonInglaterra, 2006)
Genetic algorithm in chemistry.
(Soc Brasileira QuimicaSao PauloBrasil, 1999)
Calibration of a sedimentation model through a continuous genetic algorithm
(TAYLOR & FRANCIS LTD, 2019)
Genetic and particle swarm algorithm application to tire model fitting
(Joinville, SC, 2022)
The Use of Genetic Algorithms in UV Disinfection of Drinking Water
In order to have drinking water, some countries
have to use chlorine. It is use cause is effective and it’s cheap. An
alternative to this process is the UV disinfection of drinking
water. Most of the devices in the ...
Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey
Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. ...