Books on the topic 'Genetic algorithms and fuzzy logic'

Genetic algorithms and fuzzy multiobjective optimization. Boston: Kluwer Academic Publishers, 2002.

Furuhashi, Takeshi, ed. Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60607-6.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Boston, MA: Springer US, 1997.

Fuzzy modeling and genetic algorithms for data mining and exploration. San Francisco, CA: Elsevier/Morgan Kaufmann, 2004.

Adeli, Hojjat. Cost optimization of structures: Fuzzy logic, genetic algorithms, and parallel computing. Chichester, England: Wiley, 2006.

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

Karr, C. L. An adaptive system for process control. [Washington, D.C.?]: U.S. Dept. of the Interior, Bureau of Mines, 1995.

Karr, C. L. An adaptive system for process control. [Washington, D.C.?]: U.S. Dept. of the Interior, Bureau of Mines, 1995.

Soft computing in water resources engineering: Artificial neural networks, fuzzy logic and genetic algorithms. Southampton: WIT Press, 2012.

IEEE/Nagoya University World Wisepersons Workshop (1994 Nagoya-shi, Japan). Advances in fuzzy logic, neural networks, and genetic algorithms: IEEE/Nagoya University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers. Berlin: Springer, 1995.

IEEE/Nagoya-University World Wisepersons Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation (1995 Nagoya, Japan). Proceedings of the 1995 IEEE/Nagoya-University World Wisepersons Workshop (WWW '95) on Fuzzy Logic and Neural Networks/Evolutionary Computation: November 14 and 15, 1995, Rubrum Ohzan, Nagoya, Japan. Nagoya, Japan: Nagoya University, 1995.

Inc, NetLibrary, ed. The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, fuzzy logic : with C++, Java, SymbolicC++ and Reduce programs. Singapore: World Scientific, 2001.

Chaos theory in the financial markets: Applying fractals, fuzzy logic, genetic algorithms, swarm simulation & the Monte Carlo method to manage market chaos & volatility. Chicago, Ill: Probus Pub. Co., 1994.

The nonlinear workbook: Chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, Java and symbolic C++ programs. 6th ed. Hackensack, New Jersey: World Scientific, 2015.

Tucci, Mario, and Marco Garetti, eds. Proceedings of the third International Workshop of the IFIP WG5.7. Florence: Firenze University Press, 2002. http://dx.doi.org/10.36253/88-8453-042-3.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 3rd ed. Hackensack, NJ: World Scientific, 2005.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 4th ed. New Jersey: World Scientific, 2008.

Sakawa, Masatoshi. Genetic Algorithms and Fuzzy Multiobjective Optimization. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1519-7.

International Conference on Knowledge-Based Intelligent Electronic Systems (2nd 1998 Adelaide, South Australia). 1998 second International Conference on Knowledge-Based Intelligent Electronic Systems: Proceedings : KES '98 : Adelaide, South Australia, 21-23 April, 1998. Edited by Jain L. C, Jain R. K, and Institute of Electrical and Electronics Engineers. Piscataway, New Jersey: IEEE, 1998.

International Conference on Knowledge-Based Intelligent Information Engineering Systems (3rd 1999 Adelaide, South Australia). 1999 third International Conference on Knowledge-Based Intelligent Information Engineering Systems: Proceedings : KES '99 : Adelaide, South Australia, 31 August-1 September 1999. Edited by Jain L. C, Institute of Electrical and Electronics Engineers., and International Conference on Knowledge-Based Intelligent Electronic Systems. Piscataway, New Jersey: IEEE, 1999.

Verbruggen, H. B. Fuzzy Algorithms for Control. Dordrecht: Springer Netherlands, 1999.

Suryana, Yaya. Genetic design of fuzzy logic controllers. Salford: University of Salford, 1995.

Islam, Rafiqul. Genetic algorithms, fuzzy systems, and website classification. Hauppauge, N.Y: Nova Science Publishers, 2011.

Identeki arugorizumu no kōzō kōgaku e no ōyō / Furuta Hitoshi, Sugimoto Hiroyuki cho. Tōkyō: Morikita Shuppan Kabushiki Kaisha, 2011.

Identeki arugorizumu no kōzō kōgaku e no ōyō / Furuta Hitoshi, Sugimoto Hiroyuki cho. Tōkyō: Morikita Shuppan Kabushiki Kaisha, 2011.

Brox, Piedad, Iluminada Baturone, and Santiago Sánchez-Solano. Fuzzy Logic-Based Algorithms for Video De-Interlacing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10695-8.

Adeli, Hojjat. Machine learning: Neural networks, genetic algorithms, and fuzzy systems. New York: Wiley, 1995.

R, Aliev R., ed. Soft computing and its applications. Singapore: World Scientific Press, 2001.

Pawar, Prashant M. Structural health monitoring using genetic fuzzy systems. London: Springer, 2011.

Geyer-Schulz, Andreas. Fuzzy rule-based expert systems and genetic machine learning. Heidelberg: Physica-Verlag, 1995.

Fuzzy rule-based expert systems and genetic machine learning. 2nd ed. Heidelberg: Physica-Verlag, 1997.

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68776-2.

Castillo, Oscar, Patricia Melin, and Janusz Kacprzyk, eds. Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71008-2.

Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5.

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.

Lodwick, Weldon A., and Janusz Kacprzyk. Fuzzy optimization: Recent advances and applications. Berlin: Springer, 2010.

Intelligent systems and financial forecasting. London: Springer, 1997.

Castillo, Oscar, Patricia Melin, and Janusz Kacprzyk, eds. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35445-9.

Taylor, Cynthia. A programmer's guide to the fuzzy logic ramp metering algorithm: Software design, integration, testing, and evaluation. [Olympia, Wash.]: Washington State Dept. of Transportation, 2000.

Taylor, Cynthia. Algorithm design, user interface, and optimization procedure for a fuzzy logic ramp metering algorithm: A training manual for freeway operations engineers. [Olympia, Wash.]: Washington State Dept. of Transportation, 2000.

Sanchez, Elie, Takanori Shibata, and Lotfi A. Zadeh. Genetic Algorithms and Fuzzy Logic Systems. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/2896.

Rajashekaran, S., and G. A. Vijayalksmi. Neural Networks, Fuzzy Logic and Genetic Algorithms. Prentice-Hall of India Pvt.Ltd, 2004.

1944-, Sanchez Elie, Shibata Takanori 1967-, and Zadeh Lotfi Asker, eds. Genetic algorithms and fuzzy logic systems: Soft computing perspectives. Singapore: World Scientific Pub., 1997.

(Editor), Elie Sanchez, Takanori Shibata (Editor), and Lotfi Asker Zadeh (Editor), eds. Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives (Advances in Fuzzy Systems - Applications and Theory, Vol 7). World Scientific Pub Co Inc, 1997.

Da, Ruan, ed. Intelligent hybrid systems: Fuzzy logic, neural networks, and genetic algorithms. Boston: Kluwer Academic Publishers, 1997.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Springer, 2011.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Springer, 1997.

Adeli, Hojjat, and Kamal C. Sarma. Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing. Wiley & Sons, Incorporated, John, 2006.