The Group Information Operation And Maintenance Index Modeling Research And Application Based On High Dimensional Multi-objective Optimization

The Group Company in order to assess enterprise’s performance level, they often compare with some advanced indicators for comparison, use some index score data to analyze the enterprises operation, so as to see that their own shortcomings, in contrast to get further improvement on management and on the index can achieve a higher level. This is what we used to say benchmarking on The Group Company. But The Group Company in addition to the provisions in its index using the benchmarking management strategy, they also use this benchmarking management strategy on provinces and Cities Company of The Group Company. The index system includes four main categories of41indicators of basic information security management, grid operation, human resources.This paper is based on the index system around the city operations evaluation and analysis system proposed the use of high-dimensional multi-objective optimization analysis and evaluation of indicators. This paper focuses on the relationship between human resources indicators level fitting analysis on the basis of the analysis and evaluation of the index system, the indicators proposed composite objective function. Then use the knowledge of multi-objective optimization application on objective function. Finally, get some non-dominated solution set. Decision makers can accord to some preference information to choose a solution as the allocation of human resources. This paper experimental results show that multi-objective optimization allocation scheme is better than relying solely on the experience of the program.Since the1960s, the multi-objective optimization problem is more and more attention by researchers. But the great part of the algorithm are currently considering two or three goals of low dimensional case, In practical problems, including the target number is very big, the target number for four or more than four dimensions. When the target number is greater than3dimensions, based on the Pareto sorting algorithm is more difficult. The total number of non-dominated individuals among populations will increase exponentially with increasing target dimension. That extremely weakened the ability to search based on Pareto ranking and selection.At present of high-dimensional multi-objective optimization algorithm mainly divides into three categories:one is the sorting method based on Pareto dominance, Algorithm is combined with some preference information or some kind of technology to simplify the problem. The high-dimensional multi-objective problem is transformed into low dimensional multi-objective optimization problem. One is relaxation of Pareto dominance relations. This relaxed Pareto dominance relationship. And another one is non-Pareto ranking, this method uses new evaluation criteria. This paper mainly aimed at the target to reduce to some research are made to this method, main work includes the following three aspects.First, the Group Company evaluation index analysis system for high-dimensional multi-objective optimization model, Evaluation index system of the national power grid for high-dimensional multi-objective function. We mainly consider the limited company resources. Use of high-dimensional multi-objective optimization to get better resource allocation scheme, has the characteristics of diversified and flexible.Second, Refers to the least squares method as used in the high-dimensional multi-objective reduction algorithm of this paper, Least square method can be easily to fit the high dimensional target space point synthesis of a number of straight line segments. It consists of a number of straight line segments of curve can approximate the curve on behalf of the objective function. And used in the algorithm improved the density function of the NSGA-II objective evolutionary algorithm, And compare with the original NSGA II in The Group Company evaluation model, Experiments to prove the validity and reasonableness of the improved algorithm.Finally, will improve the density function of the least squares method is applied to the national grid operation model and evaluation system, According to the characteristics of electric power company appraisal scheme was designed and implemented its evaluation and analysis system based on Web. Eventually make the system into a product, Promotion to the provinces and cities. Expand the application field of the high-dimensional multi-objective optimization.