Multi-resource leveling in multiple projects and vector evaluated particle swarm optimization based on Pareto

作者：Guo Yan^*; Li Nan; Li Xing Sen

来源：Control and Decision, 2010, 25(5): 789-793.

• Convergence efficiency
• Multi-objectives optimization
• Multi-resource
• Multiple projects
• Multiple projects management
• Pareto-optimal
• Resource leveling
• Scheduling problem
• Vector evaluated

Based on the characteristics of multi-resource leveling in multiple projects scheduling problem, a multi-objectives optimization model is setup. By applying Pareto optimal method into vector evaluated particle swarm optimization (VEPSO), a new vector evaluated particle swarm optimization based on Pareto (VEPSO-BP) is proposed. Finally, the performance of VEPSO-BP is tested with a testing example which is compared with VEPSO. Experiment results show that, VEPSO-BP is better than VEPSO in convergence efficiency, which also performs well in solving multi-resource leveling in multiple projects scheduling problem.

• 出版日期2010
• 单位南京航空航天大学; 浙江大学