Books on the topic 'The Simulated Annealing Algorithm'

Ginneken, L. P. P. P. van., ed. The annealing algorithm. Boston: Kluwer Academic Publishers, 1989.

Jones, Mark. An improved simulated annealing algorithm for standard cell placement. Urbana, IL: Computer Systems Group, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1988.

P. J. M. van Laarhoven. Theoretical and computational aspects of simulated annealing. [Amsterdam, Netherlands]: Centrum voor Wiskunde en Informatica, 1988.

Coleman, Thomas F. A parallel build-up algorithm for global energy minimizations of molecular clusters using effective energy simulated annealing. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1993.

D, Karaboga, ed. Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. London: Springer London, 2000.

1965-, Karaboga Dervis, ed. Intelligent optimisation techniques: Genetic algorithms, tabu search, simulated annealing and neural networks. London: Springer, 2000.

Junior, Hime Aguiar e. Oliveira. Stochastic global optimization and its applications with fuzzy adaptive simulated annealing. Heidelberg: New York, 2012.

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.

Vidal, René V. V., ed. Applied Simulated Annealing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-46787-5.

R. H. J. M. Otten. The Annealing Algorithm. Boston, MA: Springer US, 1989.

Otten, R. H. J. M., and L. P. P. P. van Ginneken. The Annealing Algorithm. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-1627-5.

Laarhoven, Peter J. M. Simulated Annealing: Theory and Applications. Dordrecht: Springer Netherlands, 1987.

L, Aarts E. H., ed. Simulated annealing: Theory and applications. Dordrecht: D. Reidel, 1987.

Wong, D. F. Simulated annealing for VLSI design. Boston: Kluwer Academic, 1988.

Jerrum, Mark. Simulated annealing for graph bisection. Edinburgh: LFCS, Dept. of Computer Science, University of Edinburgh, 1993.

Wong, D. F. Simulated Annealing for VLSI Design. Boston, MA: Springer US, 1988.

van Laarhoven, Peter J. M., and Emile H. L. Aarts. Simulated Annealing: Theory and Applications. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-015-7744-1.

Wong, D. F., H. W. Leong, and C. L. Liu. Simulated Annealing for VLSI Design. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1677-0.

Wells, Brett R. PCB routing using fast simulated annealing. Manchester: University of Manchester, Department of Computer Science, 1995.

Radecki, Jan. Simulated annealing w projektowaniu filtrów cyfrowych. Szczecin: Wydawn. Uczelniane Politechniki Szczecińskiej, 1995.

Ilow, Jacek. Simulated annealing optimization in blind equalization. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

Salamon, Peter. Facts, conjectures, and improvements for simulated annealing. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2003.

Sechen, Carl. VLSI placement and global routing using simulated annealing. Boston: Kluwer Academic Publishers, 1988.

Sechen, Carl. VLSI Placement and Global Routing Using Simulated Annealing. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1697-8.

Sechen, Carl. VLSI Placement and Global Routing Using Simulated Annealing. Boston, MA: Springer US, 1988.

Barker, Daniel. LVB 1.0: Reconstructing evolution with parsimony and simulated annealing. Edinburgh: D. Barker, 1997.

Hjortshøj, Julian M. Data analysis for rotationally resolved spectra: A simulated annealing approach. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1992.

Earle, Robert C. Minimization of multiple-valued programmable logic array using simulated annealing. Monterey, Calif: Naval Postgraduate School, 1991.

Quantum quenching, annealing and computation. Heidelberg: Springer, 2010.

Aguiar e Oliveira Junior, Hime, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, and Maria Augusta Soares Machado. Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27479-4.

Coleman, Thomas F. Isotropic effective energy simulated annealing searches for low energy molecular cluster states. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1992.

Dreidimensionale Packprobleme: Lösungsverfahren basierend auf den Meta-Heuristiken Simulated Annealing und Tabu-Suche. Frankfurt am Main: P. Lang, 1996.

Jan, Korst, ed. Simulated annealing and Boltzmann machines: A stochastic approach to combinatorial optimization and neural computing. Chichester [England]: Wiley, 1989.

Haim, Levanon, ed. Stochastic processes in magnetic resonance. Singapore: World Scientific, 1995.

Jayaswal, Sachin. Balancing u-shaped assembly lines with resource dependent task times: A simulated annealing approach. Ahmedabad: Indian Institute of Management, 2013.

Kindl, Mark R. A stochastic approach to the weighted-region problem: 1. the design of the path annealing algorithm. Monterey, Calif: Naval Postgraduate School, 1991.

Fox, Colin Andrew. A very first encounter with simulated annealing with particular reference to the travelling salesman problem. Salford: University of Salford, 1991.

Shaharuddin, Salleh. Scheduling in parallel computing systems: Fuzzy and annealing techniques. Boston: Kluwer Academic, 1999.

Computergestützte Planungsverfahren für das Produktionsmanagement auf der Grundlage des t[h]reshold accepting. Frankfurt am Main: P. Lang, 1996.

Lee, Bang W. Hardware annealing in analog VLSI neurocomputing. Boston: Kluwer Academic Publishers, 1991.

Italy), EMMCVPR'97 (1997 Venice. Energy minimization methods in computer vision and pattern recognition: International workshop EMMCVPR'97, Venice, Italy, May 21-23, 1997: proceedings. Berlin: Springer, 1997.

Luijten, Erik. Interaction range, universality and the upper critical dimension. Delft, Netherlands: Delft University Press, 1997.

Lawrence, Davis, ed. Genetic algorithms and simulated annealing. London: Pitman, 1987.

Davis, Thomas E. Toward an extrapolation of the simulated annealing convergence theory onto the simple genetic algorithm. 1991.

A parallel simulated annealing algorithm for standard cell placement on a hypercube computer. Urbana, Ill: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1987.

United States. National Aeronautics and Space Administration., ed. A parallel row-based algorithm with error control for standard-cell placement on a hypercube multiprocessor. [Urbana, Ill.]: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1989.

A parallel row-based algorithm with error control for standard-cell placement on a hypercube multiprocessor. [Urbana, Ill.]: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1989.

Gunnels, John A. A comparison of simulated annealing and genetic algorithms for the genome mapping problems. 1993.

Ingber, Lester, Hime Aguiar e. Oliveira Junior, and Antonio Petraglia. Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. Springer, 2012.

Ingber, Lester, Hime Aguiar e Oliveira Junior, Antonio Petraglia, Mariane Rembold Petraglia, and Maria Augusta Soares Machado. Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. Springer, 2014.