关键词: 多项目调度, 多模式, 云遗传算法, 任务可拆分

Abstract: Aiming at the low utilization rate of resources in multi-project scheduling,the multi-mode and multi-project scheduling model with activity splitting was proposed.Duration-cost-quality-resources were optimized comprehensively by multi-attribute utility function to enhance utilization rate,shorten duration and realize the maximization of total utility in multi-project scheduling.Randomness and stability of cloud droplet in Normal Cloud Model was used for designing cloud genetic algorithm to generate the priority of activities and scheduling plan of multi-mode multi-project with activities splitting.The effectiveness of the model and algorithm were verified by a case study.

Key words: multi-project scheduling, multi-mode, cloud genetic algorithm, activity splitting