Results 231 to 240 of about 3,829,483 (294)

Evaluation of genomic mating approach based on genetic algorithms for long-term selection in Huaxi cattle. [PDF]

BMC Genomics
Wang Y, Zhu B, Wang J, Zhang L, Xu L, Chen Y, Wang Z, Gao H, Li J, Gao X.   +9 more
europepmc   +1 more source

Optimizing actual PID control for walking quadruped soft robots using genetic algorithms. [PDF]

Sci Rep
Meng H, Zhang S, Zhang W, Ren Y.
europepmc   +1 more source

Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance matrices. [PDF]

PLoS One
Kumar A, Dhanka S, Sharma A, Sharma A, Maini S, Fahlevi M, Rabby F, Aljuaid M, Bansal R.   +8 more
europepmc   +1 more source

Modeling methylene blue removal using magnetic chitosan carboxymethyl cellulose multiwalled carbon nanotube composite with genetic algorithms and regression techniques. [PDF]

Sci Rep
Yousefi M, Fallahizadeh S, Maleki Y, Sheikhmohammadi A, Rezagholizade-Shirvan A.   +4 more
europepmc   +1 more source

RETRACTION: The Use of Thinking Visualization Techniques in College Teaching Based on Improved Genetic Algorithms. [PDF]

Comput Intell Neurosci
Intelligence And Neuroscience C.
europepmc   +1 more source

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The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm

Genetic Programming and Evolvable Machines, 2002
Summary: We introduce a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA is a multi-character GA that relies on the existence or non-existence of genes to determine the information that is expressed.
Annie S. Wu, Ivan I. Garibay
openaire   +2 more sources

Isomorphisms of genetic algorithms

Artificial Intelligence, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David L. Battle, Michael D. Vose
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Putting More Genetics into Genetic Algorithms

Evolutionary Computation, 1998
The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented ...
Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu   +4 more
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A Genetic Engineering Approach to Genetic Algorithms

Evolutionary Computation, 2001
We present an extension to the standard genetic algorithm (GA), which is based on concepts of genetic engineering. The motivation is to discover useful and harmful genetic materials and then execute an evolutionary process in such a way that the population becomes increasingly composed of useful genetic material and increasingly free of the harmful ...
John S. Gero, Vladimir A. Kazakov
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Genetic algorithms for genetic mapping

1998
Constructing genetic maps is a prerequisite for most in-depth genetic studies of an organism. The problem of constructing reliable genetic maps for any organism can be considered as a complex optimization problem with both discrete and continuous parameters. This paper shows how genetic algorithms can been used to tackle this problem on simple pedigree.
Gaspin, Christine, Schiex, Thomas
openaire   +2 more sources