Title :
Social behavior algorithm
Author_Institution :
Dept. of Int. Businesss, Nat. ChiNan Univ., NanTou, Taiwan
Abstract :
The goal of this research is to develop a new algorithm named social behavior algorithm (SBA) which is extended from genetic algorithm and adds some social value as rule for improving genetic algorithm. The social value include citizens can not marry relative, citizens prefer to marry spouses whose condition match themselves, citizens prefer to decide the volume of children based on their condition and a few part of elite citizens prefer to marry more spouses and possess more children etc. All of above rule will be implemented in SBA. For justified the usefulness of SBA, this investigation develops a SBAEDM model based on social behavior algorithm. SBAEDM will compare with GAEDM model in energy prediction field. Finally, conclusion and future is discussed.
Keywords :
behavioural sciences; genetic algorithms; social sciences; GAEDM model; SBAEDM model; citizens; energy prediction; genetic algorithm; marriage; social behavior algorithm; social value; Biological cells; Educational institutions; Genetic algorithms; Optimization; Prediction algorithms; Predictive models; Probability distribution; formatting; insert (key words); style; styling;
Conference_Titel :
Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-2057-3
DOI :
10.1109/iFUZZY.2012.6409675