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Filtered by keyword:simulated annealing

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  1. Berk, A., G. P. Anderson, P. K. Acharya, L. S. Bernstein, L. Muratov, J. Lee, M. Fox, S. M. Adler-Golden, J. H. Chetwynd, M. L. Hoke, R. B. Lockwood, J. A. Gardner, T. W. Cooley, C. C. Borel, and P. E. Lewis (2005), MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update, In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, pp. 662–667, Edited by Shen, S. S. and P. E. Lewis, SPIE, doi:10.1117/12.606026.
  2. Cerny, V. (1985), Thermodynamical Approach to the Traveling Salesman Problem: An Efficient Simulation Algorithm, J. Opt. Theory and Appl., 45, 41–51.
  3. Gront, D. and A. Kolinski (2007), Efficient scheme for optimization of parallel tempering Monte Carlo method, J. Phys.: Condens. Matter, 19, 1–9, doi:dio:10.1088/0953-8984/19/3/036225.
  4. Kirkpatrick, S., C. D. Gelatt, and M. P. Vecchi (1983), Optimization by Simulated Annealing, Science, 220, 671–680.
  5. Li, Y., V. A. Protopopescu, and A. Gorin (2004), Accelerated simulated tempering, Phys. Let. A, 328, 274–283, doi:10.1016/j.physleta.2004.05.067.
  6. Moncet, J.-L., G. Uymin, A. E. Lipton, and H. E. Snell (2008), Infrared Radiance Modeling by Optimal Spectral Sampling, J. Atmos. Sci., 65, 3917–3934.
  7. Vincente, J., J. Lanchares, and R. Hermida (2003), Placement by thermodynamic simulated annealing, Phys. Let. A, 317, 415–423, doi:10.1016/j.physleta.2003.08.070.