University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 2 3 2011 10 23 A Novel Optimization Tool for Automated Design of Integrated Circuits based on MOSGA A Novel Optimization Tool for Automated Design of Integrated Circuits based on MOSGA 17 34 15318 FA Maryam Dehbashian Department of electrical engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran Seyed Hamid Zahiri Department of electrical engineering, Faculty of Engineering, University of Birjand, Birjand, Iran Journal Article 2016 06 14 In this paper a novel optimization method based on Multi-Objective Gravitational Search Algorithm (MOGSA) is presented for automated design of analog integrated circuits. The recommended method firstly simulates a selected circuit using a simulator and then simulated results are optimized by MOGSA algorithm. Finally this process continues to meet its optimum result. The main programs of the proposed method have been implemented in MATLAB while analog circuits are simulated by HSPICE software. To show the capability of this method, its proficiency will be examined in the optimization of analog integrated circuits design. In this paper, an analog circuit sizing scheme -Optimum Automated Design of a Temperature independent Differential Op-amp using Widlar Current Source- is illustrated as a case study. The computer results obtained from implementing this method indicate that the design specifications are closely met. Moreover, according to various design criteria, this tool by proposing a varied set of answers can give more options to designers to choose a desirable scheme among other suggested results. MOGSA, the proposal algorithm, introduces a novel method in multi objective optimization on the basis of Gravitational Search Algorithm in which the concept of “Pareto-optimality” is used to determine “non-dominated” positions as well as an external repository to keep these positions. To ensure the accuracy of MOGSA performance, this algorithm is validated using several standard test functions from some specialized literatures. Final results indicate that our method is highly competitive with current multi objective optimization algorithms. In this paper a novel optimization method based on Multi-Objective Gravitational Search Algorithm (MOGSA) is presented for automated design of analog integrated circuits. The recommended method firstly simulates a selected circuit using a simulator and then simulated results are optimized by MOGSA algorithm. Finally this process continues to meet its optimum result. The main programs of the proposed method have been implemented in MATLAB while analog circuits are simulated by HSPICE software. To show the capability of this method, its proficiency will be examined in the optimization of analog integrated circuits design. In this paper, an analog circuit sizing scheme -Optimum Automated Design of a Temperature independent Differential Op-amp using Widlar Current Source- is illustrated as a case study. The computer results obtained from implementing this method indicate that the design specifications are closely met. Moreover, according to various design criteria, this tool by proposing a varied set of answers can give more options to designers to choose a desirable scheme among other suggested results. MOGSA, the proposal algorithm, introduces a novel method in multi objective optimization on the basis of Gravitational Search Algorithm in which the concept of “Pareto-optimality” is used to determine “non-dominated” positions as well as an external repository to keep these positions. To ensure the accuracy of MOGSA performance, this algorithm is validated using several standard test functions from some specialized literatures. Final results indicate that our method is highly competitive with current multi objective optimization algorithms. https://isee.ui.ac.ir/article_15318_64bd5b895c64710c9403820076c4b197.pdf