Abstract
In 1945 the construction of the first computer caused a revolution in the world. It was aimed to modify the interactions between Russia and theWest. In the academic and research fields it brought back a mathematical technique known as statistical sampling, now referred to as the Monte Carlo method. S. Frankel and N. Metropolis created a model of a thermonuclear reaction for the Electronic Numerical Integrator and Computer (ENIAC), persuaded by the curiosity and interest of John von Neumann, a prominent scientist in that field.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
References
Khouja M, Booth DE (1995) Fuzzy clustering procedure for evaluation and selection of industrial robots. J Manuf Syst 14(4):244–251
Saika S, et al. (2000) WSSA: a high performance simulated annealing and its application to transistor placement. Special Section on VLSI Design and CAD Algorithms. IEICE Trans Fundam Electron Commun Comput Sci E83-A(12):2584–2591
Bailey RN, Garner KM, Hobbs MF (1997) Using simulated annealing and genetic algorithms to solve staff-scheduling problems. Asia Pacific J Oper Res Nov 1 (1997)
Baker JA, Henderson D (1976) What is liquid? Understanding the states of matter. Rev Mod Phys 48:587–671
Moshiri B, Chaychi S (1998) Identification of a nonlinear industrial process via fuzzy clustering. Lect Notes Comput Sci 1415:768–775
Zhang L, Guo S, Zhu Y, Lim A (2005) A tabu search algorithm for the safe transportation of hazardous materials. Symposium on Applied Computing, Proceedings of the 2005 ACM Symposium on Applied Computing, Santa Fe, NM, pp 940–946
Shuang H, Liu Y, Yang Y (2007) Taboo search algorithm based ANN model for wind speed prediction. Proceedings of 2nd IEEE Conference on Industrial Electronics and Applications (ICIEA 2007), 23–25 May 2007, pp 2599–2602
Brigitte J, Sebbah S (2007) Multi-level tabu search for 3G network dimensioning. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2007), 11–15 March 2007, pp 4411–4416
Lee CY, Kang HG (2000) Cell planning with capacity expansion in mobile communications: a tabu search approach. IEEE Trans Vehic Technol 49(5):1678–1691
Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220:671–680
Jones MT (2003) AI application programming. Simulated Annealing. Charles River Media, Boston, pp 14–33
Further Reading
Aarts E, Korst J (1989) Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing. Wiley, New York
Battiti R, Tecchiolli G (1994) The reactive tabu search. ORSA J Comput 6(2):126–140
Dumitrescu D, Lazzerini B, Jain L (2000) Fuzzy sets and their application to clustering and training. CRC, Boca Raton, FL
Glover F, Laguna M (2002) Tabu search. Kluwer Academic, Dordrecht
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic. Prentice Hall, New York
Reynolds AP, et al. (1997) The application of simulated annealing to an industrial scheduling problem. Proceedings on Genetic Algorithms in Engineering Systems: Innovations and Applications, 2–4 Sept 1997, No 446, pp 345–350
Windham MP (1981) Cluster validity for fuzzy clustering algorithms. Fuzzy Sets Syst 5:177–185
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this chapter
Cite this chapter
(2010). Simulated Annealing, FCM, Partition Coefficients and Tabu Search. In: Intelligent Control Systems with LabVIEW™. Springer, London. https://doi.org/10.1007/978-1-84882-684-7_6
Download citation
DOI: https://doi.org/10.1007/978-1-84882-684-7_6
Publisher Name: Springer, London
Print ISBN: 978-1-84882-683-0
Online ISBN: 978-1-84882-684-7
eBook Packages: EngineeringEngineering (R0)