Results 181 to 190 of about 788,042 (240)

A Combination of Artificial Intelligence with Genetic Algorithms on Static Time-Lapse Images Improves Consistency in Blastocyst Assessment, An Interpretable Tool to Automate Human Embryo Evaluation: A Retrospective Cohort Study. [PDF]

open access: yesInt J Fertil Steril
Toschi M   +10 more
europepmc   +1 more source

Genetic algorithms for genetic mapping [PDF]

open access: possible, 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

Isomorphisms of genetic algorithms

Artificial Intelligence, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David L. Battle, Michael D. Vose
openaire   +3 more sources

Genetic Algorithms-a Tool for OR? [PDF]

open access: possibleJournal of the Operational Research Society, 1996
Summary: Compared with other metaheuristic techniques such as simulated annealing and tabu search, research into the use of genetic algorithms for the solution of OR problems is still in its infancy. This paper provides an introduction to genetic algorithms and their use in the solution of both classical and practical operational research problems ...
openaire   +1 more source

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.
Ivan Garibay, Annie S. Wu
openaire   +2 more sources

Genetic algorithms in chemistry

Journal of Chromatography A, 2007
Genetic algorithms (GAs) are a quite recent technique of optimization, whose basic concept is mimicking the evolution of a species, according to the Darwinian theory of the "survival of the fittest." The application of genetic algorithms to complex problems usually produces much better results than those obtained by the standard techniques.
openaire   +5 more sources

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