A Review of Random Search Methods-Reference-Cited by-同舟云学术

A Review of Random Search Methods

Published:2014-09-18 Issue: Volume: Page:277-292
ISSN:0884-8289
Container-title:Handbook of Simulation Optimization
language:
Short-container-title:

Author:

Andradóttir Sigrún

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4939-1384-8_10

Reference84 articles.

1. M. A. Ahmed and T. M. Alkhamis. Simulation-based optimization using simulated annealing with ranking and selection. Computers and Operations Research, 29:387–402, 2002.

2. M. A. Ahmed, T. M. Alkhamis, and M.Hasan. Optimizing discrete stochastic systems using simulated annealing and simulation. Computers and Industrial Engineering, 32:823–836, 1997.

3. D. L. J. Alexander, D. W. Bulger, J. M. Calvin, H. E. Romejin, and R. L. Sherriff. Approximate implementations of pure random search in the presence of noise. Journal of Global Optimization, 31:601–612, 2005.

4. T. M. Alkhamis and M. A. Ahmed. Simulation-based optimization using simulated annealing with confidence interval. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, editors, Proceedings of the 2004 Winter Simulation Conference, 514–519, 2004.

5. T. M. Alkhamis, M. A. Ahmed, and V. K. Tuan. Simulated annealing for discrete optimization with estimation. European Journal of Operational Research, 116:530–544, 1999.

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