Qom University Engineering Management and Soft Computing 2538-2675 Articles in Press 2021 05 17 The optimal design of an LNA by using of CAD tool based on the modified inclined planes system optimization The optimal design of an LNA by using of CAD tool based on the modified inclined planes system optimization 1846 10.22091/jemsc.2020.4335.1106 FA Najmeh Sayyadi Shahraki Faculty of Electrical and Computer Engineering University of Birjand, Birjand, Iran. 0000-0001-6332-3702 Ali Mohammadi Department of Electrical and Computer Engineering, Vahdat Institute of Higher Education, Torbat-e Jam, Iran. 0000-0002-2627-4988 Journal Article 2019 05 06 Low Noise Amplifier (LNA) is the first critical and important element in the designing of analog VLSI systems and wireless communications technology. In this paper, in order to establish an appropriate trade-off between the contradictory design objectives of an LNA circuit and the improvement of its efficiency and optimality indexes, a Computer-Aided Design (CAD) tool has been used based on the use of soft computing techniques including meta-heuristic intelligent optimization methods. For this purpose, the intelligent sizing of circuit elements and the auto-circuit design have been implemented by a new and effective Multi-Objective version of the Modified Inclined Planes System Optimization (MOMIPO) algorithm. Output results, compared with other studies, indicate a desirable achievement of design characteristics and constraints along with a variety of responses in the form of a Pareto Front. The execution of optimizer algorithm in the MATLAB environment and circuit simulations has been performed using the HSPICE software. Low Noise Amplifier (LNA) is the first critical and important element in the designing of analog VLSI systems and wireless communications technology. In this paper, in order to establish an appropriate trade-off between the contradictory design objectives of an LNA circuit and the improvement of its efficiency and optimality indexes, a Computer-Aided Design (CAD) tool has been used based on the use of soft computing techniques including meta-heuristic intelligent optimization methods. For this purpose, the intelligent sizing of circuit elements and the auto-circuit design have been implemented by a new and effective Multi-Objective version of the Modified Inclined Planes System Optimization (MOMIPO) algorithm. Output results, compared with other studies, indicate a desirable achievement of design characteristics and constraints along with a variety of responses in the form of a Pareto Front. The execution of optimizer algorithm in the MATLAB environment and circuit simulations has been performed using the HSPICE software.