Title :
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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.142
