Results 41 to 50 of about 199,377 (166)
Advances in Mechanical Engineering, 2019 A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
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GENETIC ALGORITHM BASED LOAD FLOW SOLUTION PROBLEM IN ELECTRICAL POWER SYSTEMS
Journal of Engineering, 2009 In this paper, a proposed method based on real-coded genetic algorithm is presented and applied to solve multiple load flow solution problem. Genetic algorithm is a kind of stochastic search algorithm based on the mechanics of natural selection and ...
Hassan A. Kubba, Samir Sami Mahmood
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Hybrid genetic algorithms for feature selection [PDF]
, 2004 Il-Seok Oh, Jin-Seon Lee, Byung-Ro Moon
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THE USE OF SIMULATION AND GENETIC ALGORITHM WITH DIFFERENT GENETIC OPERATORS TO OPTIMIZE MANUFACTURING SYSTEM [PDF]
Applied Computer Science, 2013 The article depicts an evolutionary approach to simulation based optimization of a typical manufacturing system. Genetic algorithm with four different variants of genetic operators (crossover operator and type of selection) is compared to find the best ...
Tomasz WIŚNIEWSKI, Szymon RYMASZEWSKI
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Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data [PDF]
, 2004 Roger M. Jarvis, Royston Goodacre
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Egyptian Informatics Journal, 2020 Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
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New Hybrid Feature Selection Approaches Based on ANN and Novel Sparsity Norm
Journal of Electrical and Computer EngineeringFeature selection is crucial for minimizing redundancy in information and addressing the limitations of traditional classification methods when dealing with large datasets and numerous features in many machine learning applications.
Khadijeh Nemati +3 more
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An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data [PDF]
, 2006 Michael Lecocke, Kenneth R. Hess
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Feature selection using a genetic algorithm-based hybrid approach
Ingeniería e Investigación, 2006 The present work proposes a hybrid feature selection model aimed at reducing training time whilst maintaining classification accuracy. The model includes adlusting a decision tree for producing feature subsets.
Luis Felipe Giraldo +3 more
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Efficient Population Diversity Handling Genetic Algorithm for QoS-Aware Web Services Selection [PDF]
, 2006 Chengwen Zhang, Sen Su, Junliang Chen
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