The Open Automation and Control Systems Journal

2015, 7 : 314-322
Published online 2015 April 17. DOI: 10.2174/1874444301507010314
Publisher ID: TOAUTOCJ-7-314

Optimization Algorithm for Route Selection Based on Intelligent Optimization

Wang Aiju and Shao Hua
School of Information Engineering, Zhongzhou University, Henan, Zhengzhou, 450044, P.R. China.

ABSTRACT

This paper presents an Optimization for Route Selection based on Simulated Annealing Gene Expression Programming (ORS-SAGEP) algorithm. When optimizing multiple objective functions with the Gene Expression Programming (GEP) algorithm, the ORS-SAGEP algorithm performs simulated annealing for every individual in the initial population, and then performs a series of other genetic manipulation and fitness function evaluations. Because it is easy for the simulated annealing (SA) algorithm to jump out of local optimal solutions, to solve this problem, this paper presents the ORS-SAGEP algorithm accordingly, which can better solve single GEP’s problems of poor optimization accuracy and easily falling into local optimum.

Keywords:

Gene Expression Programming, Genetic Manipulation, Simulated Annealing Gene, QoS Requirements.