DocumentCode
2930431
Title
Social behavior algorithm
Author
Wei-zhan Hung
Author_Institution
Dept. of Int. Businesss, Nat. ChiNan Univ., NanTou, Taiwan
fYear
2012
fDate
16-18 Nov. 2012
Firstpage
57
Lastpage
61
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on
Conference_Location
Taichung
Print_ISBN
978-1-4673-2057-3
Type
conf
DOI
10.1109/iFUZZY.2012.6409675
Filename
6409675
Link To Document