Multiple Resources Leveling in Multiple Projects Scheduling Problem Using Particle Swarm Optimization

Author

Guo, Yan ; Li, Nan ; Ye, Tingting

Author_Institution

Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

260

Lastpage

264

Abstract

Based on the characteristics of multiple resources leveling in multiple projects scheduling problem, this paper establishes a mathematic model suitable for it. For using particle swarm optimization to solve the problem, the paper defines non-key activity´s actual start time as the particle swarm, to shorten the lengths of codes and to enhance the efficiency of the algorithm. Finally, two testing examples are given to indicate that the method is feasible and effective.

Keywords

genetic algorithms; particle swarm optimisation; project management; scheduling; genetic algorithm; mathematic model; multiple projects management; multiple projects scheduling problem; multiple resources leveling; particle swarm optimization; Educational institutions; Genetic algorithms; Job shop scheduling; Mathematical model; Mathematics; Optimization methods; Particle swarm optimization; Processor scheduling; Space technology; Testing; Multiple projects management; genetic algorithm; multiple resources levelling; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.142

Filename

5364551