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A computational view of population genetics

Authors:

Yuval Rabani,

Yuri Rabinovich,

Alistair SinclairAuthors Info & Claims

STOC '95: Proceedings of the twenty-seventh annual ACM symposium on Theory of computing

Pages 83 - 92

https://doi.org/10.1145/225058.225088

Published: 29 May 1995 Publication History

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Livnat APapadimitriou C(2016)Sex as an algorithmCommunications of the ACM10.1145/293466259:11(84-93)Online publication date: 28-Oct-2016
https://dl.acm.org/doi/10.1145/2934662
Mitavskiy BTuci ECannings CRowe JHe J(2013)Geiringer theoremsNatural Computing: an international journal10.1007/s11047-013-9395-412:4(473-484)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s11047-013-9395-4
Motoki T(2010)A new method for modeling the behavior of finite population evolutionary algorithmsEvolutionary Computation10.1162/EVCO_a_0000118:3(451-489)Online publication date: 1-Sep-2010
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Index Terms

A computational view of population genetics
1. Mathematics of computing
2. Theory of computation
  1. Design and analysis of algorithms

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STOC '95: Proceedings of the twenty-seventh annual ACM symposium on Theory of computing

May 1995

776 pages

ISBN:0897917189

DOI:10.1145/225058

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 May 1995

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STOC95: Symposium on Theory of Computing

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Livnat APapadimitriou C(2016)Sex as an algorithmCommunications of the ACM10.1145/293466259:11(84-93)Online publication date: 28-Oct-2016
https://dl.acm.org/doi/10.1145/2934662
Mitavskiy BTuci ECannings CRowe JHe J(2013)Geiringer theoremsNatural Computing: an international journal10.1007/s11047-013-9395-412:4(473-484)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s11047-013-9395-4
Motoki T(2010)A new method for modeling the behavior of finite population evolutionary algorithmsEvolutionary Computation10.1162/EVCO_a_0000118:3(451-489)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1162/EVCO_a_00001
Doerr BHapp EKlein CRyan C(2008)Crossover can provably be useful in evolutionary computationProceedings of the 10th annual conference on Genetic and evolutionary computation10.1145/1389095.1389202(539-546)Online publication date: 13-Jul-2008
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Kreinovich VShpak M(2008)Computational Aspects of Aggregation in Biological SystemsApplications of Computational Intelligence in Biology10.1007/978-3-540-78534-7_12(281-305)Online publication date: 2008
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Mitavskiy BRowe J(2006)An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms.Evolutionary Computation10.1162/evco.2006.14.1.8714:1(87-118)Online publication date: 1-Mar-2006
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Kosheleva OShpak MCampos MDimuro GCosta A(2006)Computing Linear and Nonlinear Normal Modes under Interval (and Fuzzy) UncertaintyNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society10.1109/NAFIPS.2006.365479(611-616)Online publication date: Jun-2006
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Mitavskiy BRowe J(2006)Some results about the Markov chains associated to GPs and general EAsTheoretical Computer Science10.1016/j.tcs.2006.04.006361:1(72-110)Online publication date: 28-Aug-2006
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Vitányi P(2005)Genetic fitness optimization using rapidly mixing Markov chainsAlgorithmic Learning Theory10.1007/3-540-61863-5_35(67-82)Online publication date: 3-Jun-2005
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Mitavskiy BRowe J(2005)A schema-based version of geiringer's theorem for nonlinear genetic programming with homologous crossoverProceedings of the 8th international conference on Foundations of Genetic Algorithms10.1007/11513575_9(156-175)Online publication date: 5-Jan-2005
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Forward-Time Population Genetics Simulations: Methods, Implementation, and Applications

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Forward-Time Population Genetics Simulations: Methods, Implementation, and Applications

Efficient simulation under a population genetics model of carcinogenesis

Genetics and epigenetics of neural function: A model

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