The Research On Enterprise Proramme Optimization Based On Particle Swarm Algorithm

Along with the increasing level of our country social economy, the enterprisesgradually develop to the diversification and the huge development. Customer demandpresents the trend of being personalized and diversified, which makes more and moreenterprises need to transform the original single project management form to the formof project group management. Project group of multiple projects simultaneously,however, there exists many conflicts. This article mainly research the project group ofsubordinate multiple projects resource conflict problem, namely how to configure theconstraints of the limited resources reasonably and to arrange the project usingconstraint resource time and schedule so as to optimize the project of its total cost,project quality and the total time of project group. The management of these threeproject group management elements and the improvement of the efficiency of theproject group will improve the level of enterprise project management group.This article is based on the analysis and study with the relevant references inlandand abroad on the basis of predecessors’ research results. This paper expounds theconcept and characteristics of project group, discussing the problems may occur in theproject group of management. It raises the project group of resource conflict problemand introduces the causes of the formation of resource conflict and the optimizedresource configuration of the existing theoretical foundation. At the same time, it alsointroduces all items used to determine the weight of the analytic hierarchy process indetail and establish the resources optimization allocation model of particle swarmoptimization algorithm. Analytic hierarchy process helps to find the final target layersof decomposition, and then calculate the solution of the relative importance of eachfactor weight. The particle swarm optimization algorithm is developed in recent yearsto a method of nonlinear function optimization which is to simulate the behavior ofbirds feed on a swarm intelligence algorithm. Since it has a simple and fastconvergence speed with less adjustable parameters, it has been frequently used to solvemulti-objective optimization problems in recent years. In this paper, with theestablishment of resource optimal allocation model, we use intelligent computingprocess of particle swarm optimization algorithm, to solve the optimal resourceallocation scheme and its influence on the project group of overall benefit.At the end of the paper, it introduced "integrated information service system" ofthe Olympic Games as a case to verify the effectiveness of the algorithm. The projectgroup contains a comprehensive information service system "The Olympic","Olympic village space planning and material management information system" and "venuemanagement information system".By calculating the importance of the criterion layerrelative to the target weight matrix and the solution which is relative to the importanceof the rule layer weight matrix, it calculated the importance of the optimal overallbenefits of the total target weight f or each project which is relative to the project group.It is combined with particle swarm algorithm to realize the project group of the overallstrategic objectives.