Abstract
This paper presents an Optimization algorithm for Route Selection based on Simulated Annealing Gene Ex- pression Programming. The algorithm in the use of gene expression programming algorithm for multi-objective optimiza- tion function of the initial population of each individual simulated annealing operation, and then a series of other genetic manipulation and the fitness function evaluation. For simulated annealing algorithm is easy to jump out of local optimum solution is proposed to select optimal gene expression based on simulated annealing algorithm programmed route, ORS- SAGEP could improve the programming accuracy, and the simulation results prove its performance. When using gene expression programming algorithm for multi-objective optimization function of the initial population of each individual simulated annealing operation, and then a series of other genetic manipulation and the fitness function evaluation.
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