Books on the topic 'Genetic algorithm'

Kramer, Oliver. Genetic Algorithm Essentials. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52156-5.

Tao, Jili, Ridong Zhang, and Yong Zhu. DNA Computing Based Genetic Algorithm. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5403-2.

Dey, Nilanjan, ed. Applied Genetic Algorithm and Its Variants. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3428-7.

K, Kokula Krishna Hari, ed. Energy Efficient Node Placement Using Genetic Algorithm. Pondicherry, India: Association of Scientists, Developers and Faculties, 2014.

French, Alan Paul. A genetic algorithm for the satisfiability problem. Loughborough, Leics: Loughborough University Business School, 1995.

Karr, C. L. Genetic algorithm applied to least squares curve fitting. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1990.

Graves, Paul J. J. A genetic algorithm for routing printed circuit boards. Manchester: University of Manchester, Department of Computer Science, 1995.

Timmerman, Michael Jay. A genetic algorithm based anti-submarine warfare simulator. Monterey, Calif: Naval Postgraduate School, 1993.

Gen, Mitsuo. Network models and optimization: Multiobjective genetic algorithm approach. London: Springer, 2008.

Kothari, Ravi. A competitive genetic algorithm for single row facility layout. Ahmedabad: Indian Institute of Management, 2012.

Moerder, Daniel D. Constrained minimization of smooth functions using a genetic algorithm. Hampton: National Aeronautics and Space Administration, Langley Research Center, 1994.

Suman, Vitisha. A genetic algorithm based method for neutron spectrum unfolding. Mumbai: Scientific Information Resource Division, Bhabha Atomic Research Centre, 2013.

McClintock, Shaunna. Soft computing: A fuzzy logic controlled genetic algorithm environment. [S.l: The Author], 1999.

N, Pamadi Bandu, and Langley Research Center, eds. Constrained minimization of smooth functions using a genetic algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

Thomas, Mark W. A Pareto frontier for full stern submarines via genetic algorithm. Monterey, Calif: Naval Postgraduate School, 1998.

Rattray, Magnus. An analysis of a genetic algorithm training the binary perception. Manchester: University of Manchester, 1994.

Travis, Kerzic, and United States. National Aeronautics and Space Administration., eds. mGA1.0: A common LISP implementation of a messy genetic algorithm. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston, Clear Lake, 1990.

Travis, Kerzic, and United States. National Aeronautics and Space Administration., eds. mGA1.0: A common LISP implementation of a messy genetic algorithm. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston, Clear Lake, 1990.

Rogers, David. G/SPINES: A hybird of friedman's multivariate adaptive regression splines (MARS) algorithm with Holland's genetic algorithm. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

Elisha, Karl Justin Edward. A K-seed genetic clustering algorithm with applications to cellular manufacturing. Birmingham: University of Birmingham, 1997.

Knjazew, Dimitri. OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems. Boston, MA: Springer US, 2002.

Riolo, Rick. Genetic Programming Theory and Practice X. New York, NY: Springer New York, 2013.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Halme, Jarkko. Utilization of genetic algorithm in on-line tuning of fluid power servos. Lappeenranta: Lappeenranta University of Technology, 1997.

Elliott, Donald M. Application of a genetic algorithm to optimize quality assurance in software development. Monterey, Calif: Naval Postgraduate School, 1993.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Martins, Tiago, and Rui Neves. Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76680-1.

Oyama, Akira. Multiobjective optimization of rocket engine pumps using evolutionary algorithm. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Meng-Sing, Liou, and NASA Glenn Research Center, eds. Multiobjective optimization of rocket engine pumps using evolutionary algorithm. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Ma, Tao. Genetic algorithm-based combinatorial parametric optimization for the calibration of traffic microscopic simulation models. Ottawa: National Library of Canada, 2001.

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Strain gage selection in loads equations using a genetic algorithm: Sigurd A. Nelson II. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

Trent, McConaghy, Vladislavleva Ekaterina, and SpringerLink (Online service), eds. Genetic Programming Theory and Practice VIII. New York, NY: Springer Science+Business Media, LLC, 2011.

P, Dhawan Atam, Meyer Claudia M, and United States. National Aeronautics and Space Administration., eds. Genetic algorithm based input selection for a neural network function approximator with application to SSME health monitoring. [Washington, DC: National Aeronautics and Space Administration, 1991.

Lance, Chambers, ed. The practical handbook of genetic algorithms: Applications. 2nd ed. Boca Raton, Fla: Chapman & Hall/CRC, 2001.

Vas, Peter. Artificial-intelligence-based electrical machines and drives: Application of fuzzy, neural, fuzzy-neural, and genetic-algorithm-based techniques. Oxford: Oxford University Press, 1999.

Dr, Herrera Francisco, and Verdegay José-Luis, eds. Genetic algorithms and soft computing. Heidelberg: Physica-Verlag, 1996.

Krawiec, Krzysztof. Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Man, K. F., K. S. Tang, and S. Kwong. Genetic Algorithms. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0577-0.

1942-, Buckles Bill P., and Petry Fred, eds. Genetic algorithms. Los Alamitos, Calif: IEEE Computer Society Press, 1986.

Anup, Kumar, and Gupta Yash P, eds. Genetic algorithms. Oxford: Pergamon, 1995.

Kramer, Oliver. Genetic Algorithm Essentials. Springer, 2018.

Kramer, Oliver. Genetic Algorithm Essentials. Springer, 2017.

Vose, Michael D. The Simple Genetic Algorithm. The MIT Press, 1999. http://dx.doi.org/10.7551/mitpress/6229.001.0001.

Dortmund, Universität, ed. Genetic algorithms and population structures: A massively parallel algorithm. 1991.

Kanna, Rajesh, and Jaisree AD. Genetic Algorithm for Bin Packing Problem. Independently Published, 2016.

Pelikan, Martin. Hierarchical Bayesian Optimization Algorithm. Springer, 2008.

Montgomery, Raymond A. Genetic algorithm parsing of context-free grammars. 1992.

López, J. Optimization by Computer Using the Genetic Algorithm. Independently Published, 2020.