DocumentCode :
2756855
Title :
Synthetic Optimization in Project Schedule by Using Ant Colony Algorithm
Author :
Zhang, Weina ; Huang, Yuansheng ; Wang, Mingyan
Author_Institution :
Dept. of Economy & Manage., North China Electr. Power Univ., Baoding
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
6554
Lastpage :
6558
Abstract :
From the view that the maximum economic benefits can be obtained by optimizing the project schedule, this paper uses systemic method and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the latent uncertainties, all factors influencing the overall project schedule. Then by changing the election strategy and the local search strategy, the ant colony algorithm is improved and is applied in the process of optimizing the model. Finally, an example is used to prove the improved ant colony algorithm is of high effectiveness in solving the synthetic optimization of project schedule
Keywords :
optimisation; project management; scheduling; ant colony algorithm; election strategy; mathematical model; project schedule; resources supply; schedule control; synthetic optimization; Ant colony optimization; Costs; Energy management; Investments; Mathematical model; Optimal scheduling; Power generation economics; Project management; Scheduling algorithm; Uncertainty; Ant colony algorithm; Schedule control; Synthetic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714349
Filename :
1714349
Link To Document :
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