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.

The simple genetic algorithm: Foundations and theory. Cambridge, Mass: MIT Press, 1999.

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

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

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.

OmeGA: A competent genetic algorithm for solving permutation and scheduling problems. Boston: Kluwer Academic Publishers, 2002.

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.

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.

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.

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.

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.

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

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

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.

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

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

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

K, Kokula Krishna Hari, ed. Genetic Algorithm Approach to Solve Economic Load Dispatch Problem on Three Thermal Plants and A Combined Cycle Co-Generation Plant: ICIEMS 2014. India: Association of Scientists, Developers and Faculties, 2014.

Lance, Chambers, ed. Practical handbook of genetic algorithms. Boca Raton: CRC Press, 1995.

Luque, Gabriel, and Enrique Alba. Parallel Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22084-5.

Mutingi, Michael, and Charles Mbohwa. Grouping Genetic Algorithms. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44394-2.

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.