| As the base of transportation assignment problem, transportation equilibrium assignment model is a mature and theoretical model. But there are too many faults that restrict the development, for example, high dimension, complicated operating and huge time consume. All this made the model is inconvenient in the real life,that means we must develop some more effectively and convenient algorithms to solve this problem.For many years,mangy researchers have devote their over life time to this problem,in spite of there are some improvement and also develop different algorithms,such as Frank—Wolfe algorithm, Fuzzy algorithm and so on. But unfortunately it’s far from real life transportation results.In this paper in order to solve this problem,author introduced an new way--Artificial Fish School Algorithm combine with chaos theory.So the modified algorithm contains the two advantages and it is proved it’s more efficient and more robust.Access to a lot of material,the data is very large,all my programming in this paper is C++.And the author try to demonstrate the methods and its results by programming,and in the coming chapters which is provided it’s feasibility is very well in transportation equilibrium assignment model.Through analyze and study the predecessors’achievement, with appropriate improvement and innovation, the modified artificial fish school algorithm is successful and valuable, it also provides a valid instrument to design rational traffic network. |