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Muhammad Sahimi, Hossein Hamzehpour, "Efficient Computational Strategies for Solving Global Optimization Problems," Computing in Science and Engineering, vol. 12, no. 4, pp. 7483, July/August, 2010.  
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@article{ 10.1109/MCSE.2010.85, author = {Muhammad Sahimi and Hossein Hamzehpour}, title = {Efficient Computational Strategies for Solving Global Optimization Problems}, journal ={Computing in Science and Engineering}, volume = {12}, number = {4}, issn = {15219615}, year = {2010}, pages = {7483}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.85}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  MGZN JO  Computing in Science and Engineering TI  Efficient Computational Strategies for Solving Global Optimization Problems IS  4 SN  15219615 SP74 EP83 EPD  7483 A1  Muhammad Sahimi, A1  Hossein Hamzehpour, PY  2010 KW  computational strategies KW  optimization VL  12 JA  Computing in Science and Engineering ER   
Global optimization's active research community continues to pursue increasingly efficient computational strategies for addressing largescale optimization problems.
1. H. Hamzehpour, M.R. Rasaei, and M. Sahimi, "Development of Optimal Models of Porous Media by Combining Static and Dynamic Data: The Permeability and Porosity Distributions," Physical Review E, vol. 74, no. 2, 2007; doi:10.1103PhysRevE.74.026308.
2. S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi, "Optimization by Simulated Annealing," Science, vol. 220, no. 4598, 1983, pp. 671–680.
3. T. Munakata and Y. Nakamura, "Temperature Control for Simulated Annealing," Physical Review E, vol. 64, no. 4, 2001; doi:10.1103/PhysRevE.64.046127.
4. W.H. Press et al., Numerical Recipes, 3rd ed., Cambridge University Press, 2007.
5. P.E. Black, "Greedy Algorithm," Dictionary of Algorithms and Data Structures, U.S. Nat'l Institute of Standards and Technology, 2005; www.itl.nist.gov/div897/sqg/dads/HTMLgreedyalgo.html .
6. D.R. Greening, "Parallel Simulated Annealing Techniques," Physica D, vol. 42, no. 1–3, 1990, pp. 293–306.
7. D.J. Ram, T.H. Sreenivas, and K.G. Subramanian, "Parallel Simulated Annealing Algorithms," J. Parallel Distributed Computing, vol. 37, no. 2, 1996, pp. 207–212.
8. Z.G. Wang, Y.S. Wong, and M. Rahman, "Development of a Parallel Optimization Method based on Genetic Simulated Annealing Algorithm," Parallel Computing, vol. 31, no. 839, 2005, pp. 839–857.
9. L. Ingber, "Adaptive Simulated Annealing ASA: Lessons Learned," Control and Cybernetics, vol. 25, no. 33, 1996, pp. 33–54.
10. A. Das and B.K. Chakrabarti eds, , Quantum Annealing and Related Optimization Methods, Lecture Notes in Physics 679, Springer, 2005.
11. C.R. Reeves and J.E. Rowe, Genetic Algorithms, Principle and Perspectives: A Guide to GA Theory, Kluwer Academic, 2003.
12. R. Sanchez, T.T. Tsotsis, and M. Sahimi, "Computer Simulation of Gas Generation and Transport in Landfills III: Development of Landfills' Optimal Model," Chemical Eng. Science, vol. 62, no. 22, 2007, pp. 6378–6390.
13. R. Tenese, "Parallel Genetic Algorithm for a Hypercube," Proc. 2nd Int'l Conf. Genetic Algorithms, J.J. Greenstette, ed., Lawrence Erlbaum Assoc., 1987, pp. 177–183.
14. S. Wang et al., "A MultiApproachesGuided Genetic Algorithm with Application to Operon Prediction," Artificial Intelligence in Medicine, vol. 41, no. 2, 2007, pp. 151–159.
15. H. Chen, N.S. Flann, and D.W. Watson, "Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm," IEEE Trans. Parallel Distributed Systems, vol. 9, no. 2, 1998, pp. 126–136.
16. R.H. Swendsen and J.S. Wang, "Replica Monte Carlo Simulation of SpinGlasses," Physical Review Letters, vol. 57, no. 21, 1986, pp. 2607–2609.
17. U.H.E. Hansmann, "Parallel Tempering Algorithm for Conformational Studies of Biological Molecules," Chemical Physics Letters, vol. 281, 1997, pp. 140–150.
18. M. Falcioni and M.W. Deem, "A Biased Monte Carlo Scheme for Zeolite Structure Solution," J. Chemical Physics, vol. 110, no. 3, 1999, pp. 1754–1766.
19. Y. Sugita and Y. Okamoto, "ReplicaExchange Molecular Dynamics Method for Protein Folding," Chemical Physics Letters, vol. 314, nos. 1–2, 1999, pp. 141–151.
20. D.A. Kofke, "Comment on 'The Incomplete Beta Function Law for Parallel Tempering Sampling of Classical Canonical Systems,'" J. Chemical Physics, vol. 121, no. 2, 2004; doi:10.1063/1.1758211.
21. D.A. Kofke, "On the Acceptance Probability of ReplicaExchange Monte Carlo Trials," J. Chemical Physics, vol. 117, 2002; doi:10.1063/1.1507776.
22. A. Kone and D.A. Kofke, "Selection of Temperature Intervals for ParallelTempering Simulations," J. Chemical Physics, vol. 122, no. 20, 2005; doi:10.1063/1.1917749.
23. Q. Yan and J. de Pablo, "Fast Calculation of the Density of States of a Fluid by Monte Carlo Simulations," Physical Review Letters, vol. 90, no. 3, 2003; doi:10.1103/PhysRevLett.90.035701.
24. Y. Li, M. Mascagni, and A. Gorin, "A Decentralized Parallel Implementation for Parallel Tempering Algorithm," Parallel Computing, vol. 35, no. 5, 2009, pp. 269–283.
25. D.J. Earl and M.W. Deem, "Parallel Tempering: Theory, Applications, and New Perspectives," Physical Chemistry Chemical Physics, vol. 7, 2005, pp. 3910–3916.
26. W. Wenzel and K. Hamacher, "Stochastic Tunneling Approach for Global Optimization of Complex Potential Energy Landscapes," Physical Review Letters, vol. 82, no. 15, 1999, pp. 3003–3007.
27. K. Hamacher, "Adaptation in Stochastic Tunneling Global Optimization of Complex Potential Energy Landscapes," Europhysics Letters, vol. 74, no. 6, 2006; doi:10.1209/epl/i2006100580.
28. A. Schug, T. Herges, and W. Wenzel, "Reproducible Protein Folding with the Stochastic Tunneling Method," Physical Review Letters, vol. 91, no. 15, 2003; doi:10.1103/PhysRevLett.91.158102.