摘要
聚焦多目标多执行模式特点下的项目调度问题,通过建立工期、费用、资源和质量多目标函数,构建综合优化模型,同时运用粒子群算法解决工程项目多目标多执行模式优化问题.最后,通过一个应用实例计算,表明粒子群算法可以准确快速地解决该模型下的工程项目多目标优化问题,达到了项目调度中面对不同模式进行抉择,并且缩短工期、减少成本、均衡资源以及提升质量的综合的理想效果.
Multi-objective and multi-mode project scheduling characteristics were mainly focused. A comprehensive optimization model was built by establishing time,expenses,resources and quality objective functions, and a particle swarm optimization was made to solve the multi-objective and multi-mode project scheduling problems. Through an application example, it is proved that the particle swarm algorithm can solve the multi-objective optimization problems by this model accurately and rapidly, and gain the ideal effect on different mode selection, construction period cut,cost reduction,quality improvement and resources balance in the project scheduling.
出处
《上海理工大学学报》
CAS
北大核心
2013年第1期27-32,81,共7页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(71271138)
教育部人文社会科学规划基金资助项目(10YJA630187)
高等学校博士点基金资助项目(20093120110008)
上海研究生创新基金资助项目(JWCXSL1102)
上海市教育委员会科研创新资助项目(12ZS133)
关键词
项目调度
多目标
多执行模式
粒子群算法
project scheduling
multi-objective
multi, mode
particle swarm optimization