Title :
Analysis of Multi-Resources Leveling Problem with Risk Float Time
Author_Institution :
Coll. of Manage., Qingdao Technol. Univ., Qingdao, China
Abstract :
A new multi-resources leveling model with risk float time is established in this paper. With presetting the new variable of risk float time at the end of activity float time, the model can realize the new function that the project risk can be considered at the same time the resource leveling process is calculated. The validity of the improved model in this paper is verified with the help of genetic algorithm.
Keywords :
genetic algorithms; project management; resource allocation; risk management; genetic algorithm; multiresource leveling problem; project risk float time; Biological cells; Equations; Genetic algorithms; Genetics; Mathematical model; Modeling; Strontium; genetic algorithm; multi-resources leveling; network plan; risk float time;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.198
