Applied Research of Multi-objective Optimization Algorithm in the Wireless Networks

Shuaili WANG

Modern Education Technology Center, Hunan City University, Yiyang Hunan 413000, CHINA

Abstract: Due to the cost, reliability and quality of communication equilibrium of the traditional FM radio network optimization algorithms during the construction , hierarchical multi-objective optimization algorithm is put forth. First, increase FM wireless networks mobile node and ｓｅｌｅｃｔ new-adding link waypoints’ optimal vector set, then design a hierarchical optimization model, and then use hierarchical multi-objective optimization algorithm to solve the problems of VHF wireless networks. Finally, compared simulation experiment of stratified multi-objective optimization algorithm and Glid algorithm and violent search algorithm is conducted, and the experiment shows that: stratified multi-objective optimization algorithm is smaller than traditional optimization algorithms in areas such in the network nodes, the average communication jump and the average attenuation of communication after running 50 times, i.e. lower cost, better network reliability and communication quality.

Keywords: Path discrete; Constraints; Objective function; Network node