DocumentCode
3047152
Title
Research on resource allocation method in universities based on user participation
Author
Liu, Cong
Author_Institution
Comput. & Inf. Manage. Center, Tsinghua Univ., Beijing, China
Volume
2
fYear
2011
fDate
9-11 Dec. 2011
Firstpage
278
Lastpage
282
Abstract
Resource allocation problem in universities belongs to office automation research issues, which is one of the important businesses for management departments in universities. Aiming at “Just, Fair and Open” principle and purpose of user-oriented resource management, rational allocation by means of informatization and efficient use of resources is certainly an effective way. In this paper, we study the problem of resource allocation method in universities with user participation. A layered reference model of reservation system for university resources is presented. Taking multiple constraints into account, including user satisfaction, resource utilization, user coverage etc., the resource allocation is made much fit to the actual situation, however, the problem complexity increases correspondingly, leading to the adoption of an intelligent algorithm solution. Hence, an improved ant-colony-optimization-based resource allocation algorithm with user participation is proposed. By feasibility analysis of algorithm, it is shown that the proposed algorithm to solve the multi-objective optimization problem with multi-constraint is feasible and valid. As the layered idea of the model is applicable to other system, so it has broad application value.
Keywords
ant colony optimisation; educational institutions; office automation; resource allocation; ant colony optimization-based resource allocation algorithm; intelligent algorithm; just, fair and open principle; layered reference model; management department; multiobjective optimization problem; office automation research; reservation system; user participation based university; user-oriented resource management; Algorithm design and analysis; Ant colony optimization; Authentication; Educational institutions; Information systems; Optimization; Resource management; ant colony optimization; multi-constraint; multi-objective; optimization problem; resource allocation; university office automation; user participation;
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location
Cuangzhou
Print_ISBN
978-1-61284-701-6
Type
conf
DOI
10.1109/ITiME.2011.6132039
Filename
6132039
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