DocumentCode
2628114
Title
A improved genetic algorithm based on multiple population
Author
Jing, Zhang
Author_Institution
Zibo Vocational Inst., Zibo, China
fYear
2011
fDate
27-29 June 2011
Firstpage
26
Lastpage
29
Abstract
The newly proposed Two-human CardiffGA has been shown an improvement on the CardiffGA in some respects because it offers a new sort of framework for multiple population GAs which is much closer to modeling the real world. Current tests have shown the TH-CGA has a lower success rate than the S-CGA but requires fewer genetic operations and to be overall computationally faster than S-CGA when it does locate the correct answer.
Keywords
genetic algorithms; S-CGA; TH-CGA; genetic algorithm; genetic operation; multiple population; two-human CardiffGA; Accidents; Encoding; Genetic algorithms; Genetics; Humans; Programming; Water resources; GA; life-span; time-step;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5975086
Filename
5975086
Link To Document