Skip header navigation
×

Conference Proceeding

Statistical optimisation and tuning of GA factors

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.

StatusPublished
Author(s)Petrovski, Andrei; Brownlee, Alexander; McCall, John
Publication date31/12/2005
Publication date online30/09/2005
PublisherIEEE
Publisher URLhttp://ieeexplore.ieee.org/…no&userType=inst
Place of publicationPiscataway, NJ
ISBN0-7803-9363-5
ConferenceThe 2005 IEEE Congress on Evolutionary Computation, 2005
Conference locationEdinburgh, Scotland
Dates
Scroll back to the top