Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (2): 88-92.doi: 10.13190/j.jbupt.2017.02.014

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Lay Length Optimization for Communication Cable Using NSGA-Ⅱ

LI Peng, LIU Yuan, WANG Yu-hua   

  1. School of Mechanotronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China
  • Received:2016-01-22 Online:2017-04-28 Published:2017-04-26

Abstract: Lay length of communication cable was optimized using non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ). Two object functions of communication cable dosage and near-end cross talk attenuation were designed. The solutions over diversified Pareto front were obtained. Lay length of communication cable with 25 pairs was studied as the optimization object. It is shown that 157 solutions are obtained and the dosage is in the range of[55.93 kg/km, 56.74 kg/km], the near-end cross talk attenuation is in the range of[58.11 dB/km, 94.77 dB/km]. The superiority of NSGA-Ⅱ is verified compared with particle swarm optimization. The convergence time of NSGA-Ⅱ and PSO are similar, the solutions of NSGA-Ⅱ are 100% better than PSO and distribute more evenly.

Key words: communication cable, lay length, non-dominated sorting genetic algorithm-II, non-dominated sorting

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