List of genetic algorithm applications
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This is a list of genetic algorithm (GA) applications.
Natural Sciences, Mathematics and Computer Science
- Bayesian inference links to particle methods in Bayesian statistics and hidden Markov chain models[1][2]
- Artificial creativity
- Chemical kinetics (gas and solid phases)
- Calculation of bound states and local-density approximations
- Code-breaking, using the GA to search large solution spaces of ciphers for the one correct decryption.[3]
- Computer architecture: using GA to find out weak links in approximate computing such as lookahead.
- Configuration applications, particularly physics applications of optimal molecule configurations for particular systems like C60 (buckyballs)
- Construction of facial composites of suspects by eyewitnesses in forensic science.[4]
- Data Center/Server Farm.[5]
- Distributed computer network topologies
- Electronic circuit design, known as evolvable hardware
- Feature selection for Machine Learning[6]
- Feynman-Kac models [7][8][9]
- File allocation for a distributed system
- Filtering and signal processing [10][11]
- Finding hardware bugs.[12][13]
- Game theory equilibrium resolution
- Genetic Algorithm for Rule Set Production
- Scheduling applications, including job-shop scheduling and scheduling in printed circuit board assembly.[14] The objective being to schedule jobs in a sequence-dependent or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness. Satellite communication scheduling for the NASA Deep Space Network was shown to benefit from genetic algorithms.[15]
- Learning robot behavior using genetic algorithms
- Image processing: Dense pixel matching[16]
- Learning fuzzy rule base using genetic algorithms
- Molecular structure optimization (chemistry)
- Optimisation of data compression systems, for example using wavelets.
- Power electronics design.[17]
- Traveling salesman problem and its applications[14]
Earth Sciences
- Climatology: Estimation of heat flux between the atmosphere and sea ice[18]
- Climatology: Modelling global temperature changes[19]
- Design of water resource systems [20]
- Groundwater monitoring networks[21]
Finance and Economics
- Financial mathematics[2][22]
- Genetic algorithm in economics
- Representing rational agents in economic models such as the cobweb model
- the same, in Agent-based computational economics generally, and in artificial financial markets
Social Sciences
- Design of anti-terrorism systems [25]
- Linguistic analysis, including grammar induction and other aspects of Natural language processing (NLP) such as word-sense disambiguation.
Industry, Management and Engineering
- Audio watermark insertion/detection
- Airlines revenue management[26]
- Automated design of mechatronic systems using bond graphs and genetic programming (NSF)
- Automated design of industrial equipment using catalogs of exemplar lever patterns
- Automated design, including research on composite material design and multi-objective design of automotive components for crashworthiness, weight savings, and other characteristics
- Automated planning of structural inspection[27]
- Container loading optimization
- Control engineering,[28][29][30][31]
- Marketing mix analysis
- Mechanical engineering[32][33]
- Mobile communications infrastructure optimization.
- Plant floor layout
- Pop music record production[34]
- Quality control
- Sorting network
- Timetabling problems, such as designing a non-conflicting class timetable for a large university
- Vehicle routing problem [35]
- Optimal bearing placement [36]
- Computer-automated design[37]
Biological Sciences and Bioinformatics
- Bioinformatics Multiple Sequence Alignment[38][39][40]
- Bioinformatics: RNA structure prediction[41]
- Bioinformatics: Motif Discovery[42]
- Biology and computational chemistry[43][44]
- Building phylogenetic trees.[45]
- Gene expression profiling analysis.[46]
- Medicine: Clinical decision support in ophthalmology[47] and oncology[48]
- Computational Neuroscience: finding values for the maximal conductances of ion channels in biophysically detailed neuron models[49]
- Protein folding and protein/ligand docking[50][51]
- Selection of optimal mathematical model to describe biological systems
- Operon prediction.[52]
General Applications
- Neural Networks; particularly recurrent neural networks[53]
- Training artificial neural networks when pre-classified training examples are not readily obtainable (neuroevolution)
Physics
- Optimization of beam dynamics in accelerator physics.[54]
- Design of particle accelerator beamlines [55]
Other Applications
- Clustering, using genetic algorithms to optimize a wide range of different fit-functions.[|permanent dead link|dead link}}][56]
- Multidimensional systems
- Multimodal Optimization[57][58][59]
- Multiple criteria production scheduling[60]
- Multiple population topologies and interchange methodologies
- Mutation testing
- Parallelization of GAs/GPs including use of hierarchical decomposition of problem domains and design spaces nesting of irregular shapes using feature matching and GAs.
- Rare event analysis [61][62]
- Solving the machine-component grouping problem required for cellular manufacturing systems
- Stochastic optimization [63]
- Tactical asset allocation and international equity strategies
- Wireless sensor/ad-hoc networks.[64]
References
- ↑ "Del Moral - Bayesian Statistics". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simu-statistics.html.
- ↑ 2.0 2.1 a tutorial on genetic particle models
- ↑ Joachim De Zutter
- ↑ Craig Aaen Stockdale (June 1, 2008). "A (r)evolution in Crime-fighting.". Forensic Magazine. http://www.forensicmag.com/article/revolution-crime-fighting.
- ↑ SymbioticSphere – Distributed Software Systems Group, University of Massachusetts, Boston
- ↑ "Evolutionary Algorithms for Feature Selection" (in en-US). https://www.kdnuggets.com/2017/11/rapidminer-evolutionary-algorithms-feature-selection.html.
- ↑ "Website for Feynman-Kac particle models". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simulinks.html.
- ↑ "a review article on genetic particle models". http://www.math.u-bordeaux1.fr/~delmoral/seminaire.ps.
- ↑ "Feynman-Kac Formulae". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/gips.html.
- ↑ "links to particle filters". http://www.math.u-bordeaux1.fr/~delmoral/simu-filtering.html.
- ↑ a tutorial on genetic particle models
- ↑ Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato: BUGS: A Bug-Based Search Strategy using Genetic Algorithms. PPSN 1992:
- ↑ Ibrahim, W. and Amer, H.: An Adaptive Genetic Algorithm for VLSI Test Vector Selection
- ↑ 14.0 14.1 Maimon, Oded; Braha, Dan (1998). "A genetic algorithm approach to scheduling PCBs on a single machine". International Journal of Production Research 36 (3): 3. doi:10.1080/002075498193688. http://necsi.edu/affiliates/braha/IJPR_GA.pdf.
- ↑ Guillaume, Alexandre; Lee, Seugnwon; Wang, Yeou-Fang; Zheng, Hua; Hovden, Robert; Chau, Savio; Tung, Yu-Wen; Terrile, Richard J. (2007). "Deep Space Network Scheduling Using Evolutionary Computational Methods". 2007 IEEE Aerospace Conference. pp. 1–6. doi:10.1109/AERO.2007.352900. ISBN 978-1-4244-0524-4.
- ↑ A. dos Santos-Paulino, J.-C. Nebel and F.Florez-Revuelta (2014) Evolutionary algorithm for dense pixel matching in presence of distortions, EvoStar Conference, Granada, Spain, 23–25 April 2014
- ↑ Jun Zhang; Chung, H.S.H.; Lo, W.L. (2006). "Pseudocoevolutionary genetic algorithms for power electronic circuits optimization". IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews 36 (4): 590–598. doi:10.1109/TSMCC.2005.855497. http://www.cs.sysu.edu.cn/~jzhang/papers/SMCC.pdf. Retrieved 2010-08-09.
- ↑ Karolina Stanislawska; Krzysztof Krawiec; Timo Vihma (July 15, 2015). "Genetic Programming for Estimation of Heat Flux between the Atmosphere and Sea Ice in Polar Regions". Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. pp. 1279–1286. doi:10.1145/2739480.2754675. ISBN 9781450334723. http://dl.acm.org/citation.cfm?id=2754675.
- ↑ Karolina Stanislawska; Krzysztof Krawiec; Zbigniew W. Kundzewicz (April 2012). "Modelling global temperature changes with genetic programming.". Computers and Mathematics with Applications 64 (12): 3717–3728. doi:10.1016/j.camwa.2012.02.049.
- ↑ Zhang, S.X.; Babovic, V. (2012). "A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty". Journal of Hydroinformatics 14 (1): 13–29. doi:10.2166/hydro.2011.078. https://www.researchgate.net/publication/249643295.
- ↑ Optimization of Water-level Monitoring Networks in the Eastern Snake River Plain Aquifer Using a Kriging-based Genetic Algorithm Method United States Geological Survey
- ↑ "Del Moral - Financial Mathematics". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simu-finance.html.
- ↑ Zhang, S.X.; Babovic, V. (2011). "An evolutionary real options framework for the design and management of projects and systems with complex real options and exercising conditions". Decision Support Systems 51 (1): 119–129. doi:10.1016/j.dss.2010.12.001. https://www.researchgate.net/publication/220197192.
- ↑ Sefiane, Slimane and Benbouziane, Mohamed (2012). Portfolio Selection Using Genetic Algorithm , Journal of Applied Finance & Banking, Vol. 2, No. 4 (2012): pp. 143-154.
- ↑ Buurman, J.; Zhang, S.X.; Babovic, V. (2009). "Reducing risk through real options in systems design: the case of architecting a maritime domain protection system". Risk Analysis 29 (3): 366–379. doi:10.1111/j.1539-6924.2008.01160.x. PMID 19076327. https://www.researchgate.net/publication/23657202.
- ↑ Aloysius George, B. R. Rajakumar, D. Binu, (2012) "Genetic algorithm based airlines booking terminal open/close decision system"
- ↑ Ellefsen, K.O.; Lepikson, H.A.; Albiez, J.C. (2017). "Multiobjective coverage path planning: Enabling automated inspection of complex, real-world structures". Applied Soft Computing 61: 264–282. doi:10.1016/j.asoc.2017.07.051. ISSN 1568-4946. https://www.researchgate.net/publication/318893583.
- ↑ "CiteSeerX — Citation Query Switching Control Systems and Their Design Automation via Genetic Algorithms". Psu.edu. http://citeseerx.ist.psu.edu/showciting;jsessionid=B4A9784CCCB282ECE0FD1622F12FB9FD?cid=2669976.
- ↑ Li, Y. (1996). "Genetic algorithm automated approach to design of sliding mode control systems". Int J Control 63 (4): 721–739. doi:10.1080/00207179608921865.
- ↑ Loughborough University Institutional Repository. handle.net (thesis). Loughborough University. 2010-01-18. hdl:2134/5806.
- ↑ Patrascu, M. (2015). "Genetically enhanced modal controller design for seismic vibration in nonlinear multi-damper configuration". Proceedings of the Institution of Mechanical Engineers, Part I 229 (2): 158–168. doi:10.1177/0959651814550540.
- ↑ "Genetic Algorithms for Engineering Optimization". http://www.iitk.ac.in/kangal/course/gaann06.pdf.
- ↑ "Applications of evolutionary algorithms in mechanical engineering.". http://digitool.fcla.edu/dtl_publish/34/12514.html.
- ↑ "To the beat of the byte". BBC News. 1998-07-01. http://news.bbc.co.uk/2/hi/entertainment/123983.stm.
- ↑ "A hybrid genetic algorithm for multidepot and periodic vehicle routing problems". Operations Research 60 (3): 611–624. 2012. doi:10.1287/opre.1120.1048. https://www.cirrelt.ca/documentstravail/cirrelt-2010-34.pdf.
- ↑ Liu, Shibing; Yang, Bingen (2017). "Optimal placement of water-lubricated rubber bearings for vibration reduction of flexible multistage rotor systems". Journal of Sound and Vibration 407: 332–349. doi:10.1016/j.jsv.2017.07.004. Bibcode: 2017JSV...407..332L.
- ↑ Li, Y. (2004). "CAutoCSD – Evolutionary search and optimisation enabled computer automated control system design". International Journal of Automation and Computing 1 (1): 76–88. doi:10.1007/s11633-004-0076-8. http://eprints.gla.ac.uk/3818/.
- ↑ "A simple genetic algorithm for multiple sequence alignment". Genetics and Molecular Research 6 (4): 964–982. 2007. PMID 18058716.
- ↑ "SAGA a Genetic Algorithm for Multiple Sequence Alignment". Nucleic Acids Research 24 (8): 1515–24. 1995. doi:10.1093/nar/24.8.1515. PMID 8628686.
- ↑ "Notredame Lab Home Page - Comparative Bioinformatics". tcoffee.org. http://www.tcoffee.org/homepage.html.
- ↑ "An APL-programmed genetic algorithm for the prediction of RNA secondary structure". Journal of Theoretical Biology 174 (3): 269–280. 1995. doi:10.1006/jtbi.1995.0098. PMID 7545258. Bibcode: 1995JThBi.174..269V.
- ↑ Wong, Ka-Chun; Peng, Chengbin; Wong, Man-Hon; Leung, Kwong-Sak (2011). "Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm". Soft Computing 15 (8): 1631–1642. doi:10.1007/s00500-011-0692-5.
- ↑ "Del Moral - Biology & Chemistry". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simu-biology.html.
- ↑ "an article on genetic particle models". http://www.math.u-bordeaux1.fr/~delmoral/ihp.ps.
- ↑ "Genetic algorithm for large-scale maximum parsimony phylogenetic analysis of proteins". Biochimica et Biophysica Acta (BBA) - General Subjects 1725 (1): 19–29. 2005. doi:10.1016/j.bbagen.2005.04.027. PMID 15990235.
- ↑ "A parallel genetic algorithm for single class pattern classification and its application for gene expression profiling in Streptomyces coelicolor". BMC Genomics 8: 49. 2007. doi:10.1186/1471-2164-8-49. PMID 17298664.
- ↑ Krzysztof Krawiec; Mikołaj Pawlak (April 10, 2015). Genetic Programming with Alternative Search Drivers for Detection of Retinal Blood Vessels. https://www.researchgate.net/publication/272017132.
- ↑ Fitzgerald, Jeannie, Ryan, Conor, Medernach, David and Krawiec, Krzysztof (July 15, 2015). "An Integrated Approach to Stage 1 Breast Cancer Detection". Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. pp. 1199–1206. doi:10.1145/2739480.2754761. ISBN 9781450334723. http://dl.acm.org/citation.cfm?id=2754761.
- ↑ Van Geit, Werner; Gevaert, Michael; Chindemi, Giuseppe; Rössert, Christian; Courcol, Jean-Denis; Muller, Eilif B.; Schürmann, Felix; Segev, Idan et al. (7 June 2016). "BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience". Frontiers in Neuroinformatics 10: 17. doi:10.3389/fninf.2016.00017. PMID 27375471. Bibcode: 2016arXiv160300500V.
- ↑ Willett P (1995). "Genetic algorithms in molecular recognition and design". Trends in Biotechnology 13 (12): 516–521. doi:10.1016/S0167-7799(00)89015-0. PMID 8595137.
- ↑ Wong, Ka-Chun; Leung, Kwong-Sak; Wong, Man-Hon (2010). "Protein structure prediction on a lattice model via multimodal optimization techniques". Proceedings of the 12th annual conference on Genetic and evolutionary computation. p. 155. doi:10.1145/1830483.1830513. ISBN 9781450300728. http://portal.acm.org/citation.cfm?id=1830483.1830513.
- ↑ "A multi-approaches-guided genetic algorithm with application to operon prediction". Artificial Intelligence in Medicine 41 (2): 151–159. 2007. doi:10.1016/j.artmed.2007.07.010. PMID 17869072.
- ↑ "Applying Genetic Algorithms to Recurrent Neural Networks for Learning Network Parameters and Architecture". arimaa.com. http://arimaa.com/arimaa/about/Thesis/.
- ↑ Bacci, A.; Petrillo, V.; Rossetti Conti, M. (2016). "GIOTTO: A Genetic Code for Demanding Beam-dynamics Optimizations". Joint Accelerator Conferences Website (JACoW). doi:10.18429/JACoW-IPAC2016-WEPOY039. WEPOY039. http://jacow.org/ipac2016/papers/wepoy039.pdf.
- ↑ Rossetti Conti, M.; Bacci, A. (2018). "Electron beam transfer line design for plasma driven Free Electron Lasers". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 909: 84–89. doi:10.1016/j.nima.2018.02.061. ISSN 0168-9002. Bibcode: 2018NIMPA.909...84R. https://www.sciencedirect.com/science/article/pii/S0168900218302158.
- ↑ Auffarth, B. (2010). Clustering by a Genetic Algorithm with Biased Mutation Operator. WCCI CEC. IEEE, July 18–23, 2010. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.869[yes|permanent dead link|dead link}}]
- ↑ Wong, Ka-Chun; Leung, Kwong-Sak; Wong, Man-Hon (2010). "Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization". Applications of Evolutionary Computation. Lecture Notes in Computer Science. 6024. pp. 481–490. doi:10.1007/978-3-642-12239-2_50. ISBN 978-3-642-12238-5.
- ↑ Wong, Ka-Chun; Leung, Kwong-Sak; Wong, Man-Hon (2009). "An evolutionary algorithm with species-specific explosion for multimodal optimization". Proceedings of the 11th Annual conference on Genetic and evolutionary computation. p. 923. doi:10.1145/1569901.1570027. ISBN 9781605583259. http://portal.acm.org/citation.cfm?id=1570027.
- ↑ Wong, Ka-Chun; Wu, Chun-Ho; Mok, Ricky K.P.; Peng, Chengbin; Zhang, Zhaolei (2012). "Evolutionary multimodal optimization using the principle of locality". Information Sciences 194: 138–170. doi:10.1016/j.ins.2011.12.016.
- ↑ Bagchi Tapan P (1999). Multiobjective Scheduling by Genetic Algorithms. Kluwer Academic. ISBN 978-0-7923-8561-5.
- ↑ "Del Moral - Rare events". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simu-rare-events.html.
- ↑ "a review article". http://www-math.unice.fr/publis/delmoral_lezaud.ps.
- ↑ "Del Moral - Optimal Control". u-bordeaux1.fr. http://www.math.u-bordeaux1.fr/~delmoral/simu-optim.html.
- ↑ BiSNET/e – Distributed Software Systems Group, University of Massachusetts, Boston
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