Mathur, Mohit ; Karale, Sachin B. ; Priye, Sidhartha ; Jayaraman, V. K. ; Kulkarni, B. D. (2000) Ant colony approach to continuous function optimization Industrial & Engineering Chemistry Research, 39 (10). pp. 3814-3822. ISSN 0888-5885
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Official URL: http://pubs.acs.org/doi/abs/10.1021/ie990700g
Related URL: http://dx.doi.org/10.1021/ie990700g
Abstract
An ant colony optimization framework has been compared and shown to be a viable alternative approach to other stochastic search algorithms. The algorithm has been tested for variety of different benchmark test functions involving constrained and unconstrained NLP, MILP, and MINLP optimization problems. This novel algorithm handles different types of continuous functions very well and can be successfully used for large-scale process optimization.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to American Chemical Society. |
| ID Code: | 17157 |
| Deposited On: | 16 Nov 2010 08:18 |
| Last Modified: | 06 Jun 2011 09:23 |
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