Results 251 to 260 of about 329,581 (308)

Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability. [PDF]

Sci Rep
Prabhu H, Ravishankar CM, Ganesan A, Pandya M, Bhosale H, Dhadwal R, Parlikkad NR, Siarry P, Valadi JK.   +8 more
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Design of Shape Forming Elements for Architected Composites via Bayesian Optimization and Genetic Algorithms: A Concept Evaluation. [PDF]

Materials (Basel)
Kazmer DO, Olanrewaju RH, Elbert DC, Nguyen TD.   +3 more
europepmc   +1 more source

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection. [PDF]

Brief Bioinform
Cattelani L, Fortino V.
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Modeling the Electrical Activity of the Heart via Transfer Functions and Genetic Algorithms. [PDF]

Biomimetics (Basel)
Rodríguez-Abreo O, Cruz-Fernandez M, Fuentes-Silva C, Quiroz-Juárez MA, Aragón JL.   +4 more
europepmc   +1 more source

A novel framework based on explainable AI and genetic algorithms for designing neurological medicines. [PDF]

Sci Rep
Singh V, Singh SK, Sharma R.
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   +1 more source

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