Results 11 to 20 of about 1,270,531 (339)
Mathematics, 2021 Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee +3 more
semanticscholar +1 more source
Anisotropic selection in cellular genetic algorithms [PDF]
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure. First we compare this new scheme with the classical rectangular grid shapes solution according to the selective pressure: we can obtain the same takeover time with ...
Simoncini, David +3 more
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Hybrid genetic algorithm for dual selection [PDF]
Pattern Analysis and Applications, 2007 Ce travail présente un algorithme génétique hybride pour résoudre le problème suivant : sélectionner dans une base d'exemples le sous ensemble qui présente la meilleure performance en classification avec le plus petit nombre d'attributs pour le plus grand nombre d'exemples.
Ros, F. +3 more
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Gene expression programming approach to event selection in high energy physics [PDF]
, 2006 Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
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Multi-objective genetic optimisation for self-organising fuzzy logic control [PDF]
, 1998 This is the post-print version of the article. The official published version can be accessed from the link below.A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control ...
Abbod, MF, Linkens, DA, Mahfouf, M
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Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Symmetry, 2020 The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA).
Musatafa Abbas Abbood Albadr +3 more
semanticscholar +1 more source
Comparison Study for Clonal Selection Algorithm and Genetic Algorithm [PDF]
International Journal of Computer Science and Information Technology, 2012 12 pages, 12 figures, 2 ...
Sadik Ulker, Ezgi Deniz Ulker
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Energies, 2018 Background: With the development of smart grids, accurate electric load forecasting has become increasingly important as it can help power companies in better load scheduling and reduce excessive electricity production.
S. Bouktif +3 more
semanticscholar +1 more source
Prototype Selection for Dissimilarity Representation by a Genetic Algorithm [PDF]
2010 20th International Conference on Pattern Recognition, 2010 Dissimilarities can be a powerful way to represent objects like strings, graphs and images for which it is difficult to find good features. The resulting dissimilarity space may be used to train any classifier appropriate for feature spaces. There is, however, a strong need for dimension reduction.
Plasencia-Calana Y. +3 more
openaire +2 more sources
Feature selection for high dimensional data: An evolutionary filter approach. [PDF]
, 2011 Problem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection ...
Balola, Adlan +3 more
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