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Received:July 03, 2012 Revised:September 02, 2012
Received:July 03, 2012 Revised:September 02, 2012
中文摘要: 为了解决信息化工程监理面临的综合管理的复杂性, 通过综合考虑信息工程监理过程中对质量、投资、进度的控制, 采用以资源作为决策变量, 以整体工期优化为目标, 建立一种信息工程监理过程多目标优化的数学模型. 针对该数学模型, 构建了信息工程监理控制优化的多目标决策问题的目标函数, 结合一种多目标离散粒子群进化算法, 根据具体问题的特点, 重新定义和设计新的粒子进化方程, 从而较好地解决多目标优化信息工程监理控制目标的问题.
Abstract:In order to solve the complexity of the integrated management of information engineering surveillance, considering the control of the surveillance process about the quality, investment, and the progress. Resources as decision variables, optimize the overall duration as the goal, the establishment of the information engineering surveillance process multi-objective optimization model. Information engineering surveillance control to optimize the objective function of the multi-objective decision making problems the model constructed the objective function of the multi-objective decision that is the control of information engineering surveillance, combining with a multi-objective discrete particle swarm evolutionary(DPSO) algorithm, According to the characteristics of the specific problem, we define and design new particles evolution equation, and solve multi-objective optimization Control Objectives of information engineering surveillance.
keywords: information engineering surveillance multi-objective optimization problem (MOP) particle swarm optimization (PSO)
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基金项目:北京市属高等学校科学技术与研究生教育创新工程建设项目(PXM2012_014213_000037)
引用文本：
张云霄,刘宏志.基于多目标PSO算法的信息工程监理.计算机系统应用,2013,22(2):92-95
ZHANG Yun-Xiao,LIU Hong-Zhi.Information Project Surveillance Based on Multi-Objective PSO.COMPUTER SYSTEMS APPLICATIONS,2013,22(2):92-95
张云霄,刘宏志.基于多目标PSO算法的信息工程监理.计算机系统应用,2013,22(2):92-95
ZHANG Yun-Xiao,LIU Hong-Zhi.Information Project Surveillance Based on Multi-Objective PSO.COMPUTER SYSTEMS APPLICATIONS,2013,22(2):92-95
