DocumentCode
2760828
Title
Empire Establishment Algorithm
Author
Saif, Seyed Mojtaba ; Shah-Hosseini, Hamed ; Feizi, Mohammad Reza
Author_Institution
Comput. Eng., Islamic Azad Univ. Safa Shahr Branch, Safa Shahr, Iran
Volume
1
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
295
Lastpage
299
Abstract
The main goal of the research has described in this paper is to change the simple GA (genetic algorithm) for better accuracy. The proposed empire establishment algorithm is similar to the parallel genetic algorithm. Genetic algorithms are a subclass of evolutionary algorithms. Genetic algorithms mimic some processes of nature. Here, with the distribution fashion of the tribes in several regions and empire establishment, some changes in the simple genetic algorithm are proposed. These changes will add to the accuracy and the success of the GA.
Keywords
genetic algorithms; parallel algorithms; empire establishment algorithm; evolutionary algorithms; parallel genetic algorithm; Computational modeling; Concurrent computing; Design optimization; Electronics packaging; Evolutionary computation; Genetic algorithms; Genetic mutations; Performance gain; Phase change materials; Scalability; Genetic Algorithms; Meta-Heuristics; N-Queen Problem; Parallel Genetic Algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-0-7695-3892-1
Type
conf
DOI
10.1109/ICCTD.2009.71
Filename
5359676
Link To Document