International Journal of Engineering Technology and Scientific Innovation
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Reyhaneh Pedram, Mohammadreza Amini

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Reyhaneh Pedram, Mohammadreza Amini
Department of Electrical Engineering, College of Engineering, Borujerd Branch, Islamic Azad University, Borujerd, Iran

Pedram, Reyhaneh, and Mohammadreza Amini. "IMPROVED ANALOG CIRCUITS USING OPTIMIZATION ALGORITHMS AND HSPICE." IJETSI, vol. 3, no. 1, pp. 19-31,
Pedram, Reyhaneh, and Mohammadreza Amini. "IMPROVED ANALOG CIRCUITS USING OPTIMIZATION ALGORITHMS AND HSPICE." IJETSI 3, no. 1 (n.d.), 19-31.

[1]. B. A. A. Antao and A. J. Brodersen, "A framework for synthesis and verification of analog systems," Analog Integrated Circuits and Signal Processing, vol. 8, pp. 183-199, 1995/09/01 1995.
[2] . G. Oltean, S. Hintea, and E. Sipos, "A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design," in Knowledge-Based and Intelligent Information and Engineering Systems: 13th International Conference, KES 2009, Santiago, Chile, September 28-30, 2009, Proceedings, Part II, J. D. Velasquez, S. A. Rios, R. J. Howlett, and L. C. Jain, Eds., ed Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 506-514.
[3] . M. R. Amini, M. Mahdavi, and M. J. Omidi, "Analysis of a multi-user cognitive radio network considering primary users return," Computers & Electrical Engineering, vol. 53, pp. 73-88, 7// 2016.
[4]. R. A. Thakker, M. S. Baghini, and M. B. Patil, "Low-Power Low-Voltage Analog Circuit Design Using Hierarchical Particle Swarm Optimization," in 2009 22nd International Conference on VLSI Design, 2009, pp. 427-432.
[5]. H. Xu and Y. Ding, "Optimizing Method for Analog Circuit Design Using Adaptive Immune Genetic Algorithm," in 2009 Fourth International Conference on Frontier of Computer Science and Technology, 2009, pp. 359-363.
[6]. J. Yanfeng, J. Jiaxin, Z. Xiaobo, and Y. Bing, "Automated analog circuit design using Genetic Algorithms," in 2009 3rd International Conference on Anticounterfeiting, Security, and Identification in Communication, 2009, pp. 223-228.
[7]. M. Barros, J. Guilherme, and N. Horta, "Analog circuits optimization based on evolutionary computation techniques," Integration, the VLSI Journal, vol. 43, pp. 136-155, 2010/01/01/ 2010.
[8]. M. Fakhfakh, Y. Cooren, A. Sallem, M. Loulou, and P. Siarry, "Analog circuit design optimization through the particle swarm optimization technique," Analog Integrated Circuits and Signal Processing, vol. 63, pp. 71-82, 2010/04/01 2010.
[9]. Mohammad Reza Amini, Einollah Balarastaghi, "Universal neural network demodulator for software defined radio," International Journal of Engineering and Technology, vol. 3, 2011.
[10]. A. Jafari, M. Zekri, S. Sadri, and A. Mallahzade, "Design of Analog Integrated Circuits by Using Genetic Algorithm," in 2010 Second International Conference on Computer Engineering and Applications, 2010, pp. 578-581.
[11]. J. G. Manuel Barros, Nuno Horta, Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques: Springer-Verlag Berlin Heidelberg, 2010.
[12]. Mohammad Reza Amini, Einollah Balarastaghi,"Improving ann bfsk demodulator performance with training data sequence sent by transmitter," presented at the Machine Learning and Computing (ICMLC), 2010 Second International Conference on, 2010.
[13]. C. Ngai, "Optimization in switched circuits design using constraint programming," in 2012 International Conference on System Science and Engineering (ICSSE), 2012, pp. 143-146.
[14]. MR. Amini and A. Mirzavandi, "Phase-Type Model Spectrum Sensing for Cognitive Radios," IETE Journal of Research, vol. 61, pp. 1-7, 2015 2015.
[15]. M. R. Amini, F. Hemati, and A. Mirzavandi, "Trilateral Tradeoff of Sensing, Transmission, and Contention Times in a Multiuser Split-Phase CR Networks," Sensors Journal, IEEE, vol. 15, pp. 6044- 6055, 2015.
[16]. M. W. Cohen, M. Aga, and T. Weinberg, "Genetic Algorithm Software System for Analog Circuit Design," Procedia CIRP, vol. 36, pp. 17-22, 2015/01/01/ 2015.
[17]. D. Joshi, S. Dash, U. Agarwal, R. Bhattacharjee, and G. Trivedi, "Analog Circuit Optimization Based on Hybrid Particle Swarm Optimization," in 2015 International Conference on Computational Science and Computational Intelligence (CSCI), 2015, pp. 164-169.
[18]. G. Berkol, E. Afacan, G. Dundar, and E. V. Fernandez, "A hierarchical design automation concept for analog circuits," in 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2016, pp. 133-136.
[19]. S. Mallick, R. Kar, S. P. Ghoshal, and D. Mandal, "Optimal sizing and design of CMOS analogue amplifier circuits using craziness-based particle swarm optimization," International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, vol. 29, pp. 943-966, 2016.
[20]. E. Afacan and G. Dundar, "Inversion coefficient optimization assisted analog circuit sizing tool," in 2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2017, pp. 1-4.
[21]. M. Amini, M. Mahdavi, and M. J. Omidi, "Energy Efficiency Optimization of Secondary Network Considering Primary User Return with Alternating-Phase-Type Traffic," IEEE Transactions on Communications, vol. PP, pp. 1-1, 2017.

In this essay, we first review the definition of a rational framework for optimization and its methods. The expression of the sample problem, the PSO algorithm and its application n electronics is one of the issues discussed here. Therefore, in this essay we will see the improvement of the output parameters of an electronic circuit by applying the proposed method. Evolution is an appropriate optimization process. Scientists use PSO mechanisms to create powerful and effective optimization tools for PSO Algorithm. In this essay, after selecting the topology of the circuit by the designer, the values of circuit parameters including the transistor size (length and width) of the bias capacitance and resistive circuit resistance of the circuit are proposed by the optimization algorithm and the requirements of the problem, including the gain values, the circuit power lost circuit, are optimized. The use of PSO and Beehive ABC algorithms is a new method for designing these circuits. This simulation is done using MATLAB and HSPICE software at the same time. And these two algorithms are compared with other methods performed on a circuit and finally, using evolutionary algorithms, the values are calculated for the parameters of a circuit to reach important metrics such as gain, bandwidth, power consumption, etc.