List of genetic algorithm applications: Difference between revisions

Content deleted Content added
No edit summary
m Applications of genetic algorithms: convert dodgy URL to ID using AWB
Line 13:
* [[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 = 1515 | 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)
* Building [[phylogenetic tree]]s.<ref name="Hill">{{cite journal|author= Hill T, Lundgren A, Fredriksson R, Schiöth HB | title = Genetic algorithm for large-scale maximum parsimony phylogenetic analysis of proteins | journal = Biochimica et Biophysica Acta | year = 2005 | volume = 1725 | pages = 19–29 | pmid = 15990235|issue= 1|doi= 10.1016/j.bbagen.2005.04.027 }}</ref>
Line 21:
Operator. WCCI CEC. IEEE, July 18–23, 2010. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.869</ref>
* [[Code-breaking]], using the GA to search large solution spaces of [[cipher]]s for the one correct decryption.<ref>Joachim De Zutter</ref>
* [[Computer-automated design]] <ref>Li, Y., et al. (2004). CAutoCSD &ndash; Evolutionary search and optimisation enabled computer automated control system design. International Journal of Automation and Computing, 1(1). pp. 76&ndash;8876–88. ISSN 1751-8520, http://eprints.gla.ac.uk/3818/</ref>
* Configuration applications, particularly physics applications of optimal molecule configurations for particular systems like C<sub>60</sub> ([[Fullerene|buckyballs]]).
* Construction of [[facial composite]]s of suspects by [[Witness|eyewitnesses]] in forensic science.<ref>{{cite journal | title=A (r)evolution in Crime-fighting. | author=Craig Aaen Stockdale | date=June 1, 2008 | url=http://www.forensicmag.com/article/revolution-crime-fighting | journal=Forensic Magazine}}</ref>
* Container loading optimization.
* [[Control engineering]],.<ref>[http://citeseerx.ist.psu.edu/showciting;jsessionid=B4A9784CCCB282ECE0FD1622F12FB9FD?cid=2669976 Ng, K.C., Switching Control Systems and Their Design Automation via Genetic Algorithms, PhD Thesis, University of Glasgow, 1995.]</ref><ref>[http://citeseerx.ist.psu.edu/viewdoc/download?doi{{cite web | last1 =10.1.1.43.1654&rep=rep1&type=pdf Li, | first1 = Y., | coauthors = et al. (| year = 1996). | title = Genetic algorithm automated approach to design of sliding mode control systems, | journal = Int J Control, | volume = 63( | issue = 4), 721&ndash;739| pages = 721–739 | id = {{citeseerx|10.]1.1.43.1654}} }}</ref><ref>[http://hdl.handle.net/2134/5806 K. Michail, Optimised Configuration of Sensing Elements for Control and Fault Tolerance Applied to an Electro-Magnetic Suspension, PhD Thesis, Loughborough University, UK, 2009.]</ref>
* Data Center/Server Farm.<ref>[http://dssg.cs.umb.edu/wiki/index.php/SymbioticSphere SymbioticSphere &ndash; Distributed Software Systems Group, University of Massachusetts, Boston<!-- Bot generated title -->]</ref>
* Design of [[water distribution systems]].
* [[Distributed computer network]] [[topologies]].
Line 47:
|title=Genetic Algorithms for Engineering Optimization
|url=http://www.iitk.ac.in/kangal/course/gaann06.pdf
}}</ref><ref >{{cite web
|title=Applications of evolutionary algorithms in mechanical engineering.
|url=http://digitool.fcla.edu/dtl_publish/34/12514.html
Line 55:
* [[Multidimensional systems]]
* Multimodal Optimization <ref>[http://www.springerlink.com/content/jn23t10366778017/ Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong: Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization. EvoApplications (1) 2010: 481-490]</ref><ref>[http://portal.acm.org/citation.cfm?id=1570027 Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong: An evolutionary algorithm with species-specific explosion for multimodal optimization. GECCO 2009: 923-930]</ref><ref>[http://www.sciencedirect.com/science/article/pii/S0020025511006657 Ka-Chun Wong, Chun-Ho Wu, Ricky K.P. Mok, Chengbin Peng, Zhaolei Zhang, Evolutionary multimodal optimization using the principle of locality, Information Sciences, Volume 194, 1 July 2012, Pages 138-170, ISSN 0020-0255, 10.1016/j.ins.2011.12.016]</ref>
* Multiple criteria production scheduling.<ref name="Bagchi">{{cite journal|author= Bagchi Tapan P | title = Multiobjective Scheduling by Genetic Algorithms | year = 1999 | publisher = [[Kluwer Academic]]. ISBN| isbn = 0-7923-8561-6 | work = Multiobjective Scheduling by Genetic Algorithms}}</ref>
* Multiple population [[topologies]] and interchange [[methodologies]].
* [[Mutation testing]]
Line 64:
* [[Plant floor layout]].
* [[Pop music]] record producer.<ref>{{cite news| url=http://news.bbc.co.uk/2/hi/entertainment/123983.stm | work=BBC News | title=To the beat of the byte | date=1998-07-01 | accessdate=2010-05-03}}</ref>
* [[Power electronics]] design.<ref>[http://www.cs.sysu.edu.cn/~jzhang/papers/SMCC.pdf Zhang, J., Lo, W.L., and Chung, H., "Pseudocoevolutionary Genetic Algorithms for Power Electronic Circuits Optimization", IEEE Trans Systems, Man, and Cybernetics, Part C., Vol.36, No.4, July 2006, pp. 590&ndash;598590–598.]</ref>
* [[Protein folding]] and protein/[[ligand docking]].<ref name="Willet">{{cite journal|author= Willett P | title = Genetic algorithms in molecular recognition and design | journal = Trends in Biotechnology | year = 1995 | volume = 13 | pages = 516–521 | pmid = 8595137 | doi = 10.1016/S0167-7799(00)89015-0|issue= 12}}</ref><ref>[http://portal.acm.org/citation.cfm?id=1830483.1830513 Wong, K., Leung, K., and Wong, M. 2010. Protein structure prediction on a lattice model via multimodal optimization techniques. GECCO 2010: 155-162]</ref>
* [[Quality control and genetic algorithms|Quality control]]
Line 77:
* Training [[artificial neural networks]] when pre-classified training examples are not readily obtainable ([[neuroevolution]]).
* [[Traveling salesman problem]].
* Wireless sensor/ad-hoc networks.<ref>[http://dssg.cs.umb.edu/wiki/index.php/BiSNET/e BiSNET/e &ndash; Distributed Software Systems Group, University of Massachusetts, Boston<!-- Bot generated title -->]</ref>
 
==References==