Results 231 to 240 of about 4,528,698 (293)

Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm. [PDF]

Front Big Data
Mohanty SK, Rath S, Sahu SR, Parida BK, Balabantaray RC.   +4 more
europepmc   +1 more source

Comparative evaluation and architectural enhancement of a genetic algorithm-tuned fuzzy logic battery control in microgrid energy management. [PDF]

Sci Rep
Meliani M, El Attafi A, El Barkany A, Kichou S.   +3 more
europepmc   +1 more source

Structural configuration of sustainable sports industry based on deep learning and genetic algorithm.

Sci Rep
Li Y, Kim K, Zhang L.
europepmc   +1 more source

A Wi-Fi/PDR Fusion Localization Method Based on Genetic Algorithm Global Optimization. [PDF]

Sensors (Basel)
Zhang L, Ma J, Liu Y, Duan L, Liang Y, Lu Y.   +5 more
europepmc   +1 more source

Grid Search and Genetic Algorithm Optimization of Neural Networks for Automotive Radar Object Classification. [PDF]

Sensors (Basel)
Ham AG, Nafornita C, Vesa VC, Copacean G, Davidovici VD, Nafornita I.   +5 more
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
openaire   +3 more sources

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
openaire   +3 more sources

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