Universal Study on Parametric Models in Equipment System Cost Estimation
Currently, in equipment system cost estimation, parametric models are applied widely. In this paper, on the base of the concrete analysis on the adopted cost estimation model, the discussion was given on the universal analytical procedure in equipment system cost estimation, and the establishment of objective functions and the determination of model parameters were analyzed in parametric models and a sort of modeling method was brought forward considering the fitting accuracy and generalization capability, finally a practical modeling problem was transformed into a nonlinear system optimization problem and Particle swarm optimization (PSO) was adopted to obtain the model parameters aim at the complicated optimization objective function. All of those were analyzed through a case. Theoretical researches and computational analyses show that the proposed method has essentially solved the problems of model establishment and parameter optimization in parametric methods, has the good universality and strong generalization capability, and can be used as the appraisal standard of parameter cost estimation models and the basic of self-adapting modeling of parametric cost estimation.
cost estimation parametric models particle swarm optimization
Tiejun Jiang Shangfen Guo Shuzong Wang Tiejun Jiang Ruxiang Wei Tiejun Jiang
Naval University of Engineering Wuhan, P.R.China Department of Weaponry Engineering Naval University of Engineering Wuhan, P.R.China Department of Equipment Economy Management Naval University of Engineering Wuhan, P.R.China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）