Immune algorithm-based transportation planning

摘要

The industrial structure of the cities has undergone great changes, while the population is also in a large number of flows, which undoubtedly makes Chinese urban transportation construction and management face new standards and challenges. We proposed using immune algorithm to solve the transportation planning problems in this paper to shorten the total length of transmission network and transportation network, and developed a MATLAB software with the immune algorithm procedures to solving the engineering problems. By running MATLAB program got 5 substation construction points and 2 urban rail construction centers, the results showed that it can shorten the path and reduce the cost of investment to a certain extent, and the immune algorithm has global optimization, parallel search, high efficiency and other characteristics. Through the verification of the northeast transmission network optimization analysis and the central plains urban agglomeration intercity rail transportation network planning optimization analysis, demonstrated the feasibility and effectiveness of the immune algorithm.