DocumentCode
554685
Title
Application of genetic annealing algorithm in multi-resource balanced optimization considering maneuver time
Author
Hui Huang ; Siyu Bai ; Xiaoqian Du ; Nansheng Pang
Author_Institution
Coll. of Econ. & Manage., North China Electr. Power Univ., Beijing, China
Volume
6
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
2876
Lastpage
2879
Abstract
The traditional research of resource balanced optimization is based on the uniform distribution of resources and the sacrifice of maneuver time. However, in the actual construction, resources have diversity and the emergent events always exist. So to take account of the diversity of resources and be given some maneuver time to deal with these emergencies is necessary. Based on the analysis of the resource balanced optimization, this paper increased maneuver time as one of the optimization goals in objective function, to construct a balanced optimization model of multi-resource allocation. In addition, a numerical example is given to demonstrate the better effectiveness and practicality of this model.
Keywords
genetic algorithms; simulated annealing; genetic annealing algorithm; maneuver time; multiresource balanced optimization; objective function; resource diversity; simulated annealing; Annealing; Biological cells; Educational institutions; Encoding; Genetic algorithms; Simulated annealing; Genetic Annealing Algorithm; Maneuver Time; Multi-resource; Source Balanced Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location
Harbin, Heilongjiang, China
Print_ISBN
978-1-61284-087-1
Type
conf
DOI
10.1109/EMEIT.2011.6023702
Filename
6023702
Link To Document