The Commercial Development Project Location Analyze Based On Particle Swarm Optimization

As a special type of real estate development, commercial development has become oneof the most prominent areas in recently years. Especially since new housing price controlpolicies which the media named “Guo Wu Tiao” have been published, government manageto cool real estate development down with tough approach. Nonetheless, the spring of thecommercial development just come for these exciting policies.However not onlyconcerning with these diversity of features, such as fixed locations, complicatedconstructions, massive requirements, lengthy terms, complex processes, but also obsessingover every single has different characteristic for different owners, such as variety ofbusiness, extended and risky finance,, it is very important for all of these kind ofcommercial invest companies to locate best site for their commercial development projects.Thus to search the site is to deal a Herculean task, it affect both advanced urbandevelopment and excellent social benefits. More significantly, it is the key to open thedoor knocked the profit, businessman always wants more.This article focuses on these points: At first, we researched the principles of searchinga certain location of commercial development, analyzed the affective elements andestablished an Indicators System.Then, according to these researches of IS, a mathematicalmodel can be established by applying Fuzzy Comprehensive Evaluation.Next, with themodel running by Particle Swarm Optimization, the results of these complicated equationscan be found.Finally, we calculated a particular project as a test for our theories. The resultsproved them worked successfully.Research significance: For the researches of locating a commercial developmentproject are slowly and youthfully, the methods need to be fortified. Bathed on thesummaries of the old researches this article analyzed the links between these locations andcommercial development projects. Now we are trying to find an advanced, agile, efficient,scientific method to assess a commercial development for the coming years.Future Direction: For the limit knowledge and experiment, our work have not beenover yet. The IS and the standards need to be more accurate, the parameter of the ParticleSwarm Optimization needs further proof too. All of these works will be completed in ourfuture researches.