Sayyadi Shahraki, N., Zahiri, S.H.. (1397). Low-Area/Low-Power CMOS Op-Amps Design Based on Total Optimality Index Using Reinforcement Learning Approach. فناوری آموزش, 6(2), 199-214. doi: 10.22061/jecei.2019.5212.203
N. Sayyadi Shahraki; S.H. Zahiri. "Low-Area/Low-Power CMOS Op-Amps Design Based on Total Optimality Index Using Reinforcement Learning Approach". فناوری آموزش, 6, 2, 1397, 199-214. doi: 10.22061/jecei.2019.5212.203
Sayyadi Shahraki, N., Zahiri, S.H.. (1397). 'Low-Area/Low-Power CMOS Op-Amps Design Based on Total Optimality Index Using Reinforcement Learning Approach', فناوری آموزش, 6(2), pp. 199-214. doi: 10.22061/jecei.2019.5212.203
Sayyadi Shahraki, N., Zahiri, S.H.. Low-Area/Low-Power CMOS Op-Amps Design Based on Total Optimality Index Using Reinforcement Learning Approach. فناوری آموزش, 1397; 6(2): 199-214. doi: 10.22061/jecei.2019.5212.203
1Department of Electrical and Computer Engineering University of Birjand Birjand, Iran
2Department of Electrical and Computer Engineering University of Birjand, Birjand, Iran
تاریخ دریافت: 16 تیر 1396،
تاریخ بازنگری: 20 دی 1396،
تاریخ پذیرش: 26 اردیبهشت 1397
چکیده
Background and Objectives: Today, the use of methods derived from Reinforcement learning-based approaches, due to their powerful in learning and extracting optimal/desirable solutions to various problems, shows a significant wideness and success. This paper presents the application of reinforcement learning in automatic analog integrated circuit design. Methods: In this work, the multi-objective approach by learning automata is evaluated for accommodating required functionalities and performance specifications considering optimal minimizing the MOSFETs area and power consumption for two famous CMOS op-amps. Results: The performance of the circuits is evaluated through HSPICE and the approach is implemented in MATLAB, so a combination of MATLAB and HSPICE is performed. The two-stage and single-ended folded-cascode op-amps are designed in 0.25μm and 0.18μm CMOS technologies, respectively. According to the simulation results, a power of 560.42 and an area of 72.825 are obtained for a two-stage CMOS op-amp, and also a power of 214.15 and an area of 13.76 are obtained for a single-ended folded-cascode op-amp. In addition, in terms of total optimality index, MOLA for both cases has the best performance between the applied methods, and other research works with values of -25.683 and -34.162 dB, respectively. Conclusion: The results shown the ability of the proposed method to optimize aforementioned objectives, compared with three multi-objective well-known algorithms.