Conference Paper (published)
Details
Citation
Petrovski A, Brownlee A & McCall J (2005) Statistical optimisation and tuning of GA factors. In: The 2005 IEEE Congress on Evolutionary Computation, 2005. The 2005 IEEE Congress on Evolutionary Computation, 2005, Edinburgh, Scotland, 02.09.2005-05.09.2005. Piscataway, NJ: IEEE, pp. 758-764. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1554759&abstractAccess=no&userType=inst; https://doi.org/10.1109/CEC.2005.1554759
Abstract
This paper presents a practical methodology of improving the efficiency of genetic algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical inference and has been successfully applied to both binary-and integer-encoded genetic algorithms that search for good chemotherapeutic schedules.
| Status | Published |
|---|---|
| Publication date | 31/12/2005 |
| Publication date online | 30/09/2005 |
| Publisher | IEEE |
| Publisher URL | |
| Place of publication | Piscataway, NJ |
| ISBN | 0-7803-9363-5 |
| Conference | The 2005 IEEE Congress on Evolutionary Computation, 2005 |
| Conference location | Edinburgh, Scotland |
| Dates | – |
People (1)
Senior Lecturer in Computing Science, Computing Science and Mathematics - Division