Results 211 to 220 of about 29,074 (248)

Epistasis for real encoding in genetic algorithms

1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96, 2002
Epistasis is a well known tool introduced by Davidor (1991) to understand and predict the performance of a genetic algorithm using binary encoding. The meaning of variance of epistasis is analyzed using Walsh basis; it is established that this variance can be viewed as a measure of the quality of a linear approximation.
Sophie Rochet, Mohamed Slimane, Gilles Venturini   +2 more
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The Causes and Consequences of Genetic Interactions (Epistasis)

Annual Review of Genomics and Human Genetics, 2019
The same mutation can have different effects in different individuals. One important reason for this is that the outcome of a mutation can depend on the genetic context in which it occurs. This dependency is known as epistasis. In recent years, there has been a concerted effort to quantify the extent of pairwise and higher-order genetic interactions ...
Júlia, Domingo, Pablo, Baeza-Centurion, Ben, Lehner   +2 more
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Epistasis in genetic algorithms revisited

Information Sciences, 1997
Abstract Davidor epistasis is first analyzed to give its meaning a better understanding. Then, a generalization is introduced to investigate interactions between one or more positions on a chromosome, allowing a more accurate analysis of fitness landscape.
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Pleiotropy, epistasis and the genetic architecture of quantitative traits

Nature Reviews Genetics
Pleiotropy (whereby one genetic polymorphism affects multiple traits) and epistasis (whereby non-linear interactions between genetic polymorphisms affect the same trait) are fundamental aspects of the genetic architecture of quantitative traits.
Trudy F C Mackay, Robert R H Anholt, Mackay Trudy F C   +2 more
exaly   +3 more sources

Epistasis and genetic pathways

2020
This chapter explains epistasis, whereby the phenotype of one gene masks the phenotype of a different gene, and describes how it can be exploited to construct the logical pathway of the gene interactions that underlie a biological process. It notes that every biological process is the outcome of genes or gene products working together in pathways and ...
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Detecting genetic epistasis by differential departure from independence

Molecular Genetics and Genomics, 2022
Countering prior beliefs that epistasis is rare, genomics advancements suggest the other way. Current practice often filters out genomic loci with low variant counts before detecting epistasis. We argue that this practice is far from optimal because it can throw away strong epistatic patterns.
Ruby Sharma, Zeinab Sadeghian Tehrani, Sajal Kumar, Mingzhou Song   +3 more
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Effect of epistasis on the performance of genetic algorithms

Journal of Zhejiang University-SCIENCE A, 2018
In the field of genetics, it is well known that a specific genetic behavior may be influenced by more than one gene. There is a similar concept in genetic algorithms (GAs), called epistasis, which is the interaction between genes. This study demonstrates that, in spite of what is generally assumed, GAs are not an efficient optimization tool.
Sajad Jafari, Tomasz Kapitaniak, Karthikeyan Rajagopal, Viet-Thanh Pham, Fawaz E. Alsaadi   +4 more
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Genetic interactions : epistasis, linkage and speciation

2019
Population genetics often makes simplifying assumptions regarding the interactions between genes. Interactions between genes, whether through epistasis or linkage effects, vastly increase the complexity of mathematical modeling, and often require data that has not historically been available. In this Dissertation, I present three chapters that use this
Dagilis, Andrius Jonas, 0000-0003-2013-0825   +1 more
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On Epistasis for Measure of Genetic Algorithm Hardnesss

NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society, 2006
Aiming at the essence of epistasis and its significance in measuring genetic algorithm hardness, a theoretical analysis and a practical research are processed. Based on the analysis of the Euclidean normalization of epistasis variance and the extent of epistasis coefficient, which reflect the extent of epistasis of genetic algorithms, two theorems are ...
Baida Qu, Baoguo Xu
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A kind of epistasis‐tunable test functions for genetic algorithms

Concurrency and Computation: Practice and Experience, 2018
SummaryGenetic algorithm (GA) is one of the most popular algorithms of evolutionary computation. To evaluate the performance of GAs, test functions with different levels of epistasis have been included in most of the commonly used benchmark platforms.
Hongqiang Mo, Zhong Li 0001, Chunmei Zhu
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