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
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;
Conference_Titel :
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9282-4
DOI :
10.1109/CAMAN.2011.5778786
