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Selection (genetic algorithm)

About: Selection (genetic algorithm) is a(n) research topic. Over the lifetime, 72443 publication(s) have been published within this topic receiving 1327417 citation(s). more


Journal ArticleDOI: 10.1016/0022-5193(64)90038-4
William D. Hamilton1Institutions (1)
Abstract: A genetical mathematical model is described which allows for interactions between relatives on one another's fitness. Making use of Wright's Coefficient of Relationship as the measure of the proportion of replica genes in a relative, a quantity is found which incorporates the maximizing property of Darwinian fitness. This quantity is named “inclusive fitness”. Species following the model should tend to evolve behaviour such that each organism appears to be attempting to maximize its inclusive fitness. This implies a limited restraint on selfish competitive behaviour and possibility of limited self-sacrifices. Special cases of the model are used to show (a) that selection in the social situations newly covered tends to be slower than classical selection, (b) how in populations of rather non-dispersive organisms the model may apply to genes affecting dispersion, and (c) how it may apply approximately to competition between relatives, for example, within sibships. Some artificialities of the model are discussed. more

Topics: Darwinian Fitness (59%), Kin selection (57%), Inclusive fitness (57%) more

14,111 Citations

Open accessBook
18 Mar 2018-

8,733 Citations

Journal ArticleDOI: 10.1177/0049124104268644
Abstract: The model selection literature has been generally poor at reflecting the deep foundations of the Akaike information criterion (AIC) and at making appropriate comparisons to the Bayesian information... more

7,541 Citations

Open accessJournal Article

6,894 Citations

Open accessJournal ArticleDOI: 10.1093/GENETICS/147.2.915
Yunxin Fu1Institutions (1)
01 Oct 1997-Genetics
Abstract: The main purpose of this article is to present several new statistical tests of neutrality of mutations against a class of alternative models, under which DNA polymorphisms tend to exhibit excesses of rare alleles or young mutations. Another purpose is to study the powers of existing and newly developed tests and to examine the detailed pattern of polymorphisms under population growth, genetic hitchhiking and background selection. It is found that the polymorphic patterns in a DNA sample under logistic population growth and genetic hitchhiking are very similar and that one of the newly developed tests, Fs, is considerably more powerful than existing tests for rejecting the hypothesis of neutrality of mutations. Background selection gives rise to quite different polymorphic patterns than does logistic population growth or genetic hitchhiking, although all of them show excesses of rare alleles or young mutations. We show that Fu and Li's tests are among the most powerful tests against background selection. Implications of these results are discussed. more

Topics: Genetic hitchhiking (67%), Neutral mutation (63%), Tajima's D (62%) more

5,818 Citations

No. of papers in the topic in previous years

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Topic's top 5 most impactful authors

John Woolliams

45 papers, 1.7K citations

Brian Charlesworth

44 papers, 4.3K citations

Marcos Deon Vilela de Resende

31 papers, 959 citations

Piter Bijma

31 papers, 1.6K citations

Michael J. Wade

21 papers, 3.6K citations

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