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A hybrid genetic algorithm for image denoising

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
This paper presents a novel Hybrid Genetic Algorithm (HGA) for image denoising, whose main purpose is to restore images while preserving relevant information, for instance, texture and edges. The proposed method combines operators available in existing evolutionary methods, such as crossover, mutation and population reinitialization with some state-of ...
Jonatas Lopes de Paiva   +2 more
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Modeling genetic network by hybrid GP

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
We present an evolutionary modeling method for modeling genetic regulatory networks. The method features a hybrid algorithm of genetic programming with statistical analysis to derive systems of differential equations. Genetic programming and the least mean squares method were combined to identify a concise form of regulation between the variables from ...
Shin Ando, Erina Sakamoto, Hitoshi Iba
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On hybrid genetic models for hard problems

2009 IEEE International Conference on Fuzzy Systems, 2009
We review some main theoretical results about genetic algorithms. We shall take into account some central open problems related with the combinatorial optimization and neural networks theory. We exhibit experimental evidence suggesting that several crossover techniques are not, by themselves, eilective in solving hard problems ii compared with ...
Marco Carpentieri   +3 more
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THE GENETIC DESIGN OF HYBRID FUZZY CONTROLLERS

Cybernetics and Systems, 2004
In this study, we introduce a comprehensive design methodology of hybrid fuzzy controllers (HFCs). The hybrid facet of the proposed architecture of the controller manifests in the form of a convex combination of a standard proportional integral derivative (PID) controller and a fuzzy controller.
Sung-Kwun Oh   +3 more
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Biology and Genetics of Hybrid Resistance

1987
Publisher Summary The first complication of bone marrow transplantation noted was “homologous or secondary disease,” which usually occurs after the early recovery of hemopoietic cells and is because of a graft-versus-host reaction. In that disease, there is extensive proliferation of histiocytes and epithelioid cells, infiltration of various organs ...
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Hybrid genetic algorithm

2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), 2015
In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling.
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Genetics of fertility restoration in hybrid rice

Theoretical and Applied Genetics, 1992
The cross combination involving 14 male-sterile lines in rice, when crossed with different maintainers, showed fertility restoration in certain combinations. When F2 segregating populations were classified based on spikelet fertility, fertility restoration was shown to be governed by 3∶1, 9∶3∶3∶1, and 12∶3∶1, due to allelic differences.
C R, Anandakumar, S, Subramaniam
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Genetics of Hybrid Sterility

Nature, 1938
IT is a remarkable fact that the disturbances connected with genic sterility in hybrids between species (or races) are paralleled within species by similar disturbances caused by single genes. For example, there is an analogy between the asynaptic mutations in several plants and genic asynapsis in hybrids and likewise between the polymitotic mutation ...
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A Novel Simplex Hybrid Genetic Algorithm

2008 The 9th International Conference for Young Computer Scientists, 2008
In simplex hybrid genetic algorithm, widely using Nelder-Mead simplex method (NMSM) would lead to precocity of genetic algorithm and increase in computation quantity, so a novel simplex hybrid genetic algorithm is proposed in this paper. First, we propose a new efficient simplex crossover operator.
Hongfeng Xiao, Guanzheng Tan
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A Hybrid Genetic Algorithm for School Timetabling

2002
Hybrid Genetic Algorithms apply so called hybrid or repair operators or include problem specific knowledge about the problem domain in their mutation and crossover operators. These operators use local search to repair or avoid illegal or unsuitable assignments or just to improve the quality of the solutions already found.Those Hybrid Genetic Algorithms
Peter Wilke   +2 more
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