Results 51 to 60 of about 237,312 (198)
Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm [PDF]
, 2016 Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building.
F, Q. M. (Qureshi) +2 more
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GA: A Package for Genetic Algorithms inR
Journal of Statistical Software, 2013 Genetic algorithms (GAs) are stochastic search algorithms inspired by the basic principles of biological evolution and natural selection. GAs simulate the evolution of living organisms, where the fittest individuals dominate over the weaker ones, by mimicking the biological mechanisms of evolution, such as selection, crossover and mutation.
openaire +6 more sources
Landau Gauge Fixing supported by Genetic Algorithm [PDF]
, 1999 A class of algorithms for the Landau gauge fixing is proposed, which makes the steepest ascent (SA) method be more efficient by concepts of genetic algorithm.
Azusa Yamaguchi +12 more
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Gene Silencing Genetic Algorithm for 0/1 Knapsack with Object Preferences [PDF]
International Journal of Computational Intelligence Systems, 2011 Genetic Algorithms are efficient search and optimization techniques inspired by natural evolution. To show the difficulties in solving constrained optimization problems through GA, the 0/1 knapsack problem with user specific object preferences has been ...
S. Siva Sathya +2 more
doaj +1 more source
Ground-State Properties of a Heisenberg Spin Glass Model with a Hybrid Genetic Algorithm
, 2008 We developed a genetic algorithm (GA) in the Heisenberg model that combines a triadic crossover and a parameter-free genetic algorithm. Using the algorithm, we examined the ground-state stiffness of the $\pm J$ Heisenberg model in three dimensions up to ...
Banavar J. R. +17 more
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Towards a framework for designing full model selection and optimization systems [PDF]
, 2013 People from a variety of industrial domains are beginning to realise that appropriate use of machine learning techniques for their data mining projects could bring great benefits.
Mayo, Michael +2 more
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Cooperative co-evolution of GA-based classifiers based on input increments [PDF]
, 2007 Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs.
Guan, SU, Zhu, F
core +2 more sources
Jixie chuandong, 2003 Genetic Algorithm （GA） is an intelligent search algorithm which is parallel,random,self-adapting,self-organixing. The algorithm simulates nature selection and genetic mechamism in the process of biologic evolution.
黄乾贵, 张艳
doaj
Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi
Jurnal Teknologi dan Sistem Komputer, 2020 Genetic algorithm (GA) can improve the classification of the face recognition process in the principal component analysis (PCA). However, the accuracy of this algorithm for the smart home security system has not been further analyzed. This paper presents
Subiyanto Subiyanto +4 more
doaj +1 more source
Representing Space: A Hybrid Genetic Algorithm for Aesthetic Graph Layout [PDF]
, 1998 This paper describes a hybrid Genetic Algorithm (GA) that is used to improve the layout of a graph according to a number of aesthetic criteria.
Hobbs, M.H.W., Rodgers, Peter
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