DocumentCode
3302197
Title
Genetic Algorithm Structure Optimization for the Schedule Task Solution
Author
Bogdanovich, D. ; Ziyangirov, A.
Author_Institution
Aviation Radio-Electron. Equip. Dept., Moscow State Tech. Univ. of Civil Aviation, Irkutsk, Russia
fYear
2011
fDate
19-21 May 2011
Firstpage
1
Lastpage
3
Abstract
Using genetic algorithm is a way to solve scheduling problem at educational institutions. The genetic algorithm based on matrix performance of the initial information and genetic operators adapted for the given task is being considered.
Keywords
educational institutions; genetic algorithms; scheduling; educational institutions; genetic algorithm structure optimization; genetic operators; matrix performance; schedule task solution; Biological cells; Encoding; Genetic algorithms; Genetics; Job shop scheduling; Processor scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9282-4
Type
conf
DOI
10.1109/CAMAN.2011.5778786
Filename
5778786
Link To Document