Results 281 to 290 of about 242,339 (312)
Some of the next articles are maybe not open access.
Parallel genetic algorithm with fading selection
International Journal of Computer Applications in Technology, 2014This work presents a novel approach to designing the parallel genetic algorithm GA with fading selection for the solving of the problem of the shareholder value maximisation of an oil company. The algorithm based on the dynamical interaction of synchronised processes, which are interdependent GAs having own separate evolutions of their populations. The
openaire +1 more source
Genetic algorithms in feature selection
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 2003We 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
openaire +1 more source
On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms
2009This paper discusses some aspects of the general convergence behavior of genetic algorithms. Careful attention is given to how different selection strategies influence the progress of genetic diversity in populations. For being able to observe genetic diversity over time measures are introduced for estimating pairwise similarities as well as ...
Michael Affenzeller +3 more
openaire +1 more source
Genetic Algorithm as an Attributes Selection Tool for Learning Algorithms
2004Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of individuals is calculated on the basis of classification quality using NN or C4.5 algorithm.
Halina Kwasnicka, Piotr Orski
openaire +1 more source
Genetic Algorithms and Model Selection
2017With 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
openaire +1 more source
A Synergistic Selection Strategy in the Genetic Algorithms
2006According 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.
openaire +1 more source
Selection of Representatives Using Genetic Algorithms
2022Yoshihiko Hamamoto +3 more
openaire +1 more source
Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Symmetry, 2020Musatafa Abbas Abbood Albadr +2 more
exaly