Jamaluddin, H. (2007) Optimum grouping in a mod wed genetic algorithm for discrete-time, non-linear system identification. In: Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 2007.
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Abstract
The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | non-linear system identification, genetic algorithm |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Science |
| ID Code: | 14265 |
| Deposited By: | Liza Porijo |
| Deposited On: | 23 Aug 2011 05:47 |
| Last Modified: | 14 Sep 2017 02:44 |
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