سال انتشار: ۱۳۸۳

محل انتشار: دهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۷

نویسنده(ها):

a hazeh – iran university of science and tehnology department of computer engineering
a rahmani –

چکیده:

genetic algorithms GA emulate the natural evolution process and maintain populationof potential solutions to a given problem. Through the population GA implicitly maintains the statistics about the search space this implicit statistics can be used explicitly to enhance GA’s performance inspired by this idea a new selection operator called statistical selection ioperator SSO . HAS BEEN PROPOSED . SSO uses the statistics information of the population in order to adaptively calculate the survival probability of each chromosome in this paper SSO is intorduced and examined in some benchmark tests. experimental results show that using SSO improves the performance of traditional GA.