List of genetic algorithm applications: Difference between revisions

Revision as of 18:30, 2 November 2014

Revision as of 23:11, 17 November 2014

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* [[Bioinformatics]] [[multiple sequence alignment]].<ref name="Gondro">{{cite journal|author= Gondro C, Kinghorn BP | title = A simple genetic algorithm for multiple sequence alignment | journal = Genetics and Molecular Research | year = 2007 | volume = 6 | pages = 964–982 |issue= 4|pmid= 18058716 }}</ref>

* [[Bioinformatics]]: [[RNA]] structure prediction.<ref name="Batenburg">{{cite journal|author= van Batenburg FH, Gultyaev AP, Pleij CW | title = An APL-programmed genetic algorithm for the prediction of RNA secondary structure | journal = Journal of Theoretical Biology | year = 1995 | volume = 174 | pages = 269–280 | pmid = 7545258 | doi = 10.1006/jtbi.1995.0098|issue= 3 }}</ref>

* [[Bioinformatics]]: [[Multiple Sequence Alignment]].<ref name="Notredame">{{cite journal|author= Notredame C, Higgins DG| title = SAGA a Genetic Algorithm for Multiple Sequence Alignment | journal = Nucleic Acids Research | year = 1995 | volume = 24 | pages = 15151515–24 | pmid = 8628686|issue= 8|pmc= 145823 | doi=10.1093/nar/24.8.1515}}</ref> SAGA is available on:.<ref>[http://www.tcoffee.org/homepage.html Cedric Notredame Home Page<!-- Bot generated title -->]</ref>

* [[Bioinformatics]]: [[Motif Discovery]].<ref>[http://www.springerlink.com/content/0374r4h611ml8634/ Ka-Chun Wong*, Chengbin Peng, Man-Hon Wong, Kwong-Sak Leung: Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Computing, 15:1631-1642, 2011.]</ref>

* Biology and computational chemistry ([http://www.math.u-bordeaux1.fr/~delmoral/simu-biology.html] links to particle methods in biology and computational chemistry and [http://www.math.u-bordeaux1.fr/~delmoral/ihp.ps] an article on genetic particle models)

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* [[Genetic Algorithm for Rule Set Production]]

* [[Genetic algorithm in economics|Economics]]

* [[Genetic algorithm scheduling|Scheduling applications]], including [[Job Shop Scheduling|job-shop scheduling]] and scheduling in [[printed circuit board]] assembly.<ref name="PCB">{{cite journal | last1 = Maimon, | first1 = Oded, | last2 = Braha, | first2 = Dan (| year = 1998) [http://necsi.edu/affiliates/braha/IJPR_GA.pdf| title = A genetic algorithm approach to scheduling PCBs on a single machine], ''| url = http://necsi.edu/affiliates/braha/IJPR_GA.pdf | format = PDF | journal = International Journal of Production Research'' '''| volume = 36'''( | issue = | page = 3) }}</ref> The objective being to schedule jobs in a [[sequence-dependent setup|sequence-dependent]] or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness.

* Groundwater monitoring networks<ref>[http://purl.fdlp.gov/GPO/gpo41529 Optimization of Water-level Monitoring Networks in the Eastern Snake River Plain Aquifer Using a Kriging-based Genetic Algorithm Method] [[United States Geological Survey]]</ref>

* Learning [[robot]] behavior using genetic algorithms.