Title :
A improved genetic algorithm based on multiple population
Author_Institution :
Zibo Vocational Inst., Zibo, China
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5975086