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In this paper, an automatic planning system is developed. By our proposed technique, the vehicle routing planning is optimized using the evolutionary computation. A mutation which sa-tisfies all constraints is designed. Simulation results using real world data show the effectiveness of our developed system. Furthermore, in order to improve in the computational speed by paralleliza-tion, using GPGPU...
The solution to the route selection problem of transit was converted to minimum spanning tree (MST) problem. Compared with the classic MST algorithm, an improved genetic algorithm is introduced to search the minimum spanning trees based on the graphic theory. This algorithm uses binary code to represent the problem of minimum spanning trees and uses the depth first search method to determine the connectivity...
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