Results 11 to 20 of about 7,623,343 (264)
Comparison Study for Clonal Selection Algorithm and Genetic Algorithm [PDF]
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
. 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
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
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]
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
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
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]
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]
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
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