Pareto fronts-driven Multi-Objective Cuckoo Search for 5G Network Optimization

• Junyan Wang,

Vol. 14, No. 7, July 31, 2020
10.3837/tiis.2020.07.004, Download Paper (Free):

• Cuckoo search
• Pareto fronts
• Convergence
• diversity
• 5G Network Optimization

Abstract

5G network optimization problem is a challenging optimization problem in the practical engineering applications. In this paper, to tackle this issue, Pareto fronts-driven Multi-Objective Cuckoo Search (PMOCS) is proposed based on Cuckoo Search. Firstly, the original global search manner is upgraded to a new form, which is aimed to strengthening the convergence. Then, the original local search manner is modified to highlight the diversity. To test the overall performance of PMOCS, PMOCS is test on three test suits against several classical comparison methods. Experimental results demonstrate that PMOCS exhibits outstanding performance. Further experiments on the 5G network optimization problem indicates that PMOCS is promising compared with other methods.

Statistics

Cite this article