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
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;
Conference_Titel :
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-0-7695-3892-1
DOI :
10.1109/ICCTD.2009.71
