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采用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)对通信电缆的绞合节距进行优化,以通信电缆的导体用量和近端串音衰减为优化目标,获得一组多样化的Pareto解集,为绞合节距的设计提供了优选空间.以25线对通信电缆的绞合节距为优化对象,结果表明,经优化获得157个Pareto解,其目标函数导体用量位于区间[55.93 kg/km,56.74 kg/km],近端串音衰减位于区间[58.11 d B/km,94.77 d B/km];与粒子群算法(PSO)相比,在收敛时长相似的情况下,NSGA-Ⅱ的优化结果支配度100%优于PSO,其解集分布均匀程度也显著优于PSO.
The non-dominated sequencing genetic algorithm with elitist strategy (NSGA-Ⅱ) is adopted to optimize the stranded pitch of communication cables. The target of communication cable and near-end crosstalk attenuation are optimized to obtain a diverse set of Pareto solutions Set, which provides the optimal space for the design of stranded pitch.The twisted pitch of the communication cable with 25 lines is optimized, and the result shows that 157 Pareto solutions are optimized and the target function conductors are located in the interval [55.93 kg / km, 56.74 kg / km], and near-end crosstalk attenuation is in the interval [58.11 d B / km, 94.77 d B / km]. Compared with the PSO, when the convergence time is similar, The optimal results of Ⅱ are 100% better than PSO, and the distribution of solution sets is also better than PSO.