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An effective genetic algorithm-based feature selection method for intrusion detection systems
Computers & security, 2021Z. Halim +7 more
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GrC model in Genetic Algorithm: Artificial Selection Algorithm
2008 IEEE International Conference on Granular Computing, 2008Genetic Algorithm (GA), a programming technique that mimics natural evolution as a problem-solving strategy, has become popular since its appearance. It keeps the properties similar to natural selection systems. Many improved GAs has been proposed, however, natural selection essence is not changed.
Z.H. Chen, G.W. Yan, G. Xie, K. M. Xie
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Enhancing Data Selection Using Genetic Algorithm
2010 International Conference on Computational Intelligence and Communication Networks, 2010Genetic algorithms are becoming increasingly valuable in solving large-scale, realistic, difficult problems, and selecting replica with multiple selection criteria - availability, security and time- is one of these problems. In this paper, a rank based elitist clustering Genetic Algorithm is proposed named RRWSGA, which alleviates the problem of being ...
O A Jadaan +3 more
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Entropy-Boltzmann selection in the genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2003A new selection method, entropy-Boltzmann selection, for genetic algorithms (GAs) is proposed. This selection method is based on entropy and importance sampling methods in Monte Carlo simulation. It naturally leads to adaptive fitness in which the fitness function does not stay fixed but varies with the environment.
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Feature selection using genetic algorithms
2020ÖZET Bu çalışmada sınıflandırmada öge seçimi problemini inceledik. Bu amaç için Genetik Yordamlar ve Sırayla Geri Arama (SGA) teknikleri kullanıldı. Bu iki yöntemin de sınıflamadaki basan oranını düşürmeden sınıflamada kullanılan öge sayışım azaltma basanları ölçüldü, öge seçiminde kullanılan, başka araştırmacılar tarafından uygulanmış diğer yöntemler ...
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Research and Application of Hybrid Random Selection Genetic Algorithm
International Symposium on Computational Intelligence and Design, 2017Jin Zhu, Libo Huai, Rong-yi Cui
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Portfolio selection using genetic algorithms
International Journal of Natural and Applied Sciences, 2012The study of portfolio optimization pioneered by Harry Markowitz in his mean-variance (E-V) model is undoubtedly a popular research area in finance. The combination of different assets in a master asset often called a portfolio is more profitable than holding a single asset, since the risk of investment is diversified away without necessarily degrading
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Selection Analysis in Genetic Algorithms
1998This paper describes a formal framework for the analysis of genetic algorithms. The model is based on the idea that over the space of populations an equivalence relation can be defined, as well as a metric on the space of equivalence classes induced by this relation.
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Selecting Valuable Stock Using Genetic Algorithm
2006In this study, we utilize the genetic algorithm (GA) to select high quality stocks with investment value. Given the fundamental financial and price information of stocks trading, we attempt to use GA to identify stocks that are likely to outperform the market by having excess returns. To evaluate the efficiency of the GA for stock selection, the return
Chengxiong Zhou +4 more
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