Results 11 to 20 of about 7,623,343 (264)

Comparison Study for Clonal Selection Algorithm and Genetic Algorithm [PDF]

open access: yesInternational Journal of Computer Science & Information Technology (IJCSIT) Vol 4, No 4, August 2012 pp 107-118, 2012
Two metaheuristic algorithms namely Artificial Immune Systems (AIS) and Genetic Algorithms are classified as computational systems inspired by theoretical immunology and genetics mechanisms. In this work we examine the comparative performances of two algorithms.
arxiv   +1 more source

Genetic Algorithms

open access: yesRobust Control Systems with Genetic Algorithms, 1993
. Given an image, there is no unique measure to quantitatively judge the quality of an image enhancement operator. It is also not clear which measure is to be used for the given image.
William F Fulkerson
semanticscholar   +1 more source

Cosmological Parameter Estimation with Genetic Algorithms

open access: yesUniverse, 2023
Genetic algorithms are a powerful tool in optimization for single and multimodal functions. This paper provides an overview of their fundamentals with some analytical examples.
Ricardo Medel-Esquivel   +4 more
doaj   +1 more source

Choosing Mutation and Crossover Ratios for Genetic Algorithms - A Review with a New Dynamic Approach

open access: yesInf., 2019
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of evolution and natural selection theory and is under the umbrella of evolutionary computing algorithm.
Ahmad Hassanat   +5 more
semanticscholar   +1 more source

Zooming in, Zooming Out: A Framework for Hierarchical Genetic Algorithms [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2014
We present a framework of algorithms and techniques involving hierarchical genetic algorithms. These algorithms attempt to generate models and solutions at both the structural and atomic levels simultaneously using atomic and global chromosomes.
Jennifer Seitzer
doaj  

A review on genetic algorithm: past, present, and future

open access: yesMultimedia tools and applications, 2020
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis.
Sourabh Katoch, S. Chauhan, Vijay Kumar
semanticscholar   +1 more source

A STUDY ON GENETIC ALGORITHM AND ITS APPLICATIONS

open access: yesInternational Research Journal of Modernization in Engineering Technology and Science, 2023
We need a way to differentiate the best and worse solutions in order to get the best outcomes. A statistical model or simulation could be the metric, or it could be a subjective one where we favor better results over worse ones.
Namira Begum Sayyed
semanticscholar   +1 more source

Genetic heterogeneity analysis using genetic algorithm and network science [PDF]

open access: yesarXiv, 2023
Through genome-wide association studies (GWAS), disease susceptible genetic variables can be identified by comparing the genetic data of individuals with and without a specific disease. However, the discovery of these associations poses a significant challenge due to genetic heterogeneity and feature interactions.
arxiv  

Comparison of REML methods for the study of phenome-wide genetic variation [PDF]

open access: yesarXiv, 2022
It is now well documented that genetic covariance between functionally related traits leads to an uneven distribution of genetic variation across multivariate trait combinations, and possibly a large part of phenotype-space that is inaccessible to evolution.
arxiv  

An Automatic Document Classifier System Based on Genetic Algorithm and Taxonomy

open access: yesIEEE Access, 2018
The use of the Web has increased the creation of digital information in an accelerated way and about multiple subjects. Text classification is widely used to filter emails, classify Web pages, and organize results retrieved by Web browsers. In this paper,
Alan Diaz-Manriquez   +4 more
doaj   +1 more source

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