Title :
Notice of Retraction
A heuristic genetic algorithm for multi-mode resource-constrained project scheduling problem
Author :
Li Zheng ; Qin Jinlei ; Zhang Changming
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ. (Baoding), Baoding, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
A heuristic genetic algorithm for multi-mode resource-constrained project scheduling problem is given because the requisition of constraints of using renewable and nonrenewable resource in practical engineering is taken into consideration. Consumption of nonrenewable resource, weighted coefficient and the duration are combined, and objective function is constructed dynamically by choosing different weights. In this way, the optimal solution of scheduling mode can be gained which meets different needs of projects. It has been proved that by adopting the algorithm, not only duration can be the shortest, but also nonrenewable resources can be saved maximum, which will be great significance to achieve the optimal arrangement of time and resources in practical production.
Keywords :
genetic algorithms; project management; scheduling; heuristic genetic algorithm; multimode resource constrained project scheduling problem; objective function; optimal solution; weighted coefficient; Encoding; heuristic genetic algorithm; multi-mode resource-constrained project scheduling; scheduling pattern sequence; weight;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564886