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IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 2003
We use a genetic algorithm (GA) for the feature selection problem. The method explores the space of possible subsets to obtain the set of features that maximizes the predictive accuracy and minimizes irrelevant attributes. We introduce a multiple correlation in a fitness function used by the GA to evaluate the fitness of each feature subset regarding ...
N. Chaikla, null Yulu Qi
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A Synergistic Selection Strategy in the Genetic Algorithms

2006
According to the Neo-Darwinist, natural selection can be classified into three categories: directional selection, disruptive selection, and stabilizing selection. Traditional genetic algorithms can be viewed as a process of evolution based on directional selection that gives more chances of reproduction to superior individuals.
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Genetic Algorithms and Model Selection

2017
With the rise of competition in the market, enhancing the marketing strategies has become the main interest of business owners to increase their revenues. And in order to achieve that, the main factor is to have science-based tactics like the ones provided by MassTer, the MMM software that uses advanced algorithms to estimate marketing mix models such ...
Ayari, Amani, Sayadi, Mounir
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Selection of Representatives Using Genetic Algorithms