This project was supported by National Natural Science Foundation of China (Grant No. 61179032), and the Graduate Innovation Fund of Wuhan Polytechnic University (2014cx007).
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
The main core problem in optimization filed is to apply the optimization method devised by adopting a meta-heuristic algorithm to large-scale traffic network layout problem based on contribution center (TNLOSP). Improved Genetic Algorithm (IGA) is proposed to deal with this problem instead of traditional one. Two improvements are added to previous algorithm: Prim Stochastic Algorithm (PSA) and a fair competition strategy. In tuning phase, such core parameters in crossover rate, fairness coefficient p0, and the like as are synchronously optimized;In comparative analysis phrase, in large part as...