LC -电压控制振荡器优化设计的元启发式算法比较

P. Pereira, M. Kotti, H. Fino, M. Fakhfakh
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引用次数: 4

摘要

本文的目的是比较三种已知的元启发式算法:遗传算法(GA),粒子群优化(PSO)和模拟退火(SA)。为了进行比较,考虑了LC-电压控制振荡器(LC-VCO)的设计,其中设想了最小化VCO相位噪声和功耗。这种比较的目的是找到产生最佳解的算法。通过HSPICE/RF仿真结果验证了各元启发式算法解的有效性。本文最后给出了各算法的鲁棒性检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metaheuristic algorithms comparison for the LC - Voltage controlled oscillators optimal design
The goal of this paper is to present a comparison among three known metaheuristics: Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA). For the comparison, the design of an LC - Voltage Controlled Oscillator (LC-VCO) is considered, where the minimization of both VCO phase noise and power consumption is envisaged. The objective of this comparison is to find the algorithm yielding the best solution. The validity of the solution obtained with each metaheuristic algorithm is checked against HSPICE/RF simulation results. Robustness checks for each algorithm are presented at the end of this paper.
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