Free Access
Math. Model. Nat. Phenom.
Volume 5, Number 7, 2010
JANO9 – The 9th International Conference on Numerical Analysis and Optimization
Page(s) 97 - 102
Published online 26 August 2010
  1. M. S. Arumugam, M. V. C. Rao, A. W. C. Tan. A novel and effective particle swarm optimization like algorithm with extrapolation technique. Applied Soft Computing, 9 (2009), No. 1, 308–320. [CrossRef] [Google Scholar]
  2. A. Georgieva, I. Jordanov. Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. European Journal of Operational Research, 196 (2009), 413-422. [CrossRef] [Google Scholar]
  3. W. Gong, Z. Cai, L. Jiang. Enhancing the performance of differential evolution using orthogonal design method. Applied Mathematics and Computation, 206 (2008), No. 1, 56–69. [CrossRef] [Google Scholar]
  4. Z. Huang, X. Miao, P. Wang. A revised cut-peak function method for box constrained continuous global optimization. Applied Mathematics and Computation 194 (2007), No. 1, 224–233. [CrossRef] [MathSciNet] [Google Scholar]
  5. D. G. Luenberger. Introduction to linear and nonlinear programming. Addison Wesley, 1973. [Google Scholar]
  6. S. Sitarz. Ant algorithms and simulated annealing for multicriteria dynamic programming. Computers and Operations Research, 36 (2009), No. 2, 433–441. [CrossRef] [MathSciNet] [Google Scholar]
  7. J. C. Spall. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Transactions on Automatic Control, 37 (1992), No. 3, 332–341. [CrossRef] [Google Scholar]
  8. J. C. Spall. Adaptive stochastic approximation by the simultaneous perturbation method. IEEE Transactions on Automatic Control, 45 (2000), No. 10, 1839–1853. [CrossRef] [Google Scholar]
  9. PJM. Van Laarhoven, EHL. Aarts. Simulated annealing: theory and applications. Dordrecht: D. Reidel Publishing Company, Kluwer, 1987. [Google Scholar]
  10. L. Wang, K. Chen, Y. S. Ong (Eds). Advances in Natural Computation. Part III, Springer Science & Business Publisher, Changsha, China, 2005. [Google Scholar]
  11. C. Wang, Y. Yang, J. Li. A new filled function method for unconstrained global optimization. Journal of Computational and Applied Mathematics, 225 (2009), No. 1, 68–79. [CrossRef] [MathSciNet] [Google Scholar]
  12. Y. J. Wang, J. S. Zhang. An efficient algorithm for large scale global optimization of continuous functions. Journal of Computational and Applied Mathematics, 206 (2007), No. 2, 1015–1026. [CrossRef] [MathSciNet] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.