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.