Efficient Multiple Starting Point Optimization for Automated Analog Circuit Optimization via Recycling Simulation Data

2016 ◽  
Author(s):  
Bo Peng ◽  
Fan Yang ◽  
Changhao Yan ◽  
Xuan Zeng ◽  
Dian Zhou
Keyword(s):  
Analog Circuit ◽  
Circuit Optimization ◽  
Simulation Data ◽  
Starting Point

Analog circuit optimization using adjoint network based sensitivity analysis

2017 ◽  
Vol 82 ◽  
pp. 221-225 ◽  
Author(s):  
Deepak Joshi ◽  
Satyabrata Dash ◽  
H.S. Jatana ◽  
Ratnajit Bhattacharjee ◽  
Gaurav Trivedi
Keyword(s):  
Sensitivity Analysis ◽  
Analog Circuit ◽  
Circuit Optimization

scholarly journals A Built-In Self-Test and In Situ Analog Circuit Optimization Platform

2018 ◽  
Vol 65 (10) ◽  
pp. 3445-3458 ◽  
Author(s):  
Sanghoon Lee ◽  
Congyin Shi ◽  
Jiafan Wang ◽  
Adriana Sanabria ◽  
Hatem Osman ◽  
...  
Keyword(s):  
Analog Circuit ◽  
Circuit Optimization ◽  
Self Test ◽  
Built In Self Test

scholarly journals On a Quasi Optimal Algorithm for Analog Circuits Optimization

2021 ◽  
Vol 12 ◽  
pp. 61-72
Author(s):  
Alexander Zemliak ◽  
Fernando Reyes ◽  
Olga Felix
Keyword(s):  
Lyapunov Function ◽  
Circuit Design ◽  
Analog Circuits ◽  
Analog Circuit ◽  
Optimal Algorithm ◽  
Traditional Approach ◽  
Block Diagram ◽  
Circuit Optimization ◽  
Design Algorithm ◽  
Main Ideas

An analog circuit design methodology based on applications of control theory is the basis for constructing an optimal or quasi-optimal design algorithm. The main criterion for identifying the required structure of the algorithm is the behavior of the Lyapunov function, which was decisive for the circuit optimization process. The characteristics of the Lyapunov function and its derivative are the basis for finding the optimal structure of the control vector that determines the structure of the algorithm. A block diagram of a quasi-optimal algorithm that implements the main ideas of the methodology is constructed, and the main characteristics of this algorithm are presented in comparison with the traditional approach

scholarly journals A COMBINED SIMPLEX–TRUST-REGION METHOD FOR ANALOG CIRCUIT OPTIMIZATION

2008 ◽  
Vol 17 (01) ◽  
pp. 123-140
Author(s):  
ÁRPÁD BŰRMEN ◽  
TADEJ TUMA ◽  
IZTOK FAJFAR
Keyword(s):  
Integrated Circuits ◽  
Circuit Design ◽  
Analog Circuit ◽  
Trust Region Method ◽  
Trust Region ◽  
Optimization Methods ◽  
Circuit Optimization ◽  
Convergence Results ◽  
Common Ailment ◽  
Automated Circuit Design

The analog-integrated circuits industry is exerting increasing pressure to shorten the analog circuit design time. This pressure is put primarily on the analog circuit designers that in turn demand automated circuit design tools evermore vigorously. Such tools already exist in the form of circuit optimization software packages but they all suffer a common ailment — slow convergence. Even taking into account the increasing computational power of modern computers the convergence times of such optimization tools can range from a few days to even weeks. Different authors have tried diverse approaches for speeding up the convergence with varying success. In this paper authors propose a combined optimization algorithm that attempts to improve the speed of convergence by exploiting the positive properties of the underlying optimization methods. The proposed algorithm is tested on a number of test cases and the convergence results are discussed.

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