Simulated Annealing Algorithm with Multi-Molecule: An Approach to Analog Synthesis

Authors:
H. Z. Yang;C. Z. Fan;H. Wang;R. S. Liu
Affiliations:
Dept. of Electronic Engineering, Tsinghua Univ., Beijing, P.R. China;Dept. of Electronic Engineering, Tsinghua Univ., Beijing, P.R. China;Dept. of Electronic Engineering, Tsinghua Univ., Beijing, P.R. China;Dept. of Electronic Engineering, Tsinghua Univ., Beijing, P.R. China
Venue:
EDTC '96 Proceedings of the 1996 European conference on Design and Test
Year:
1996

Citing 3
Cited 0

Diffusion for global optimization in Rn

SIAM Journal on Control and Optimization
Integer and combinatorial optimization

Integer and combinatorial optimization
Integer programming based topology selection of cell-level analog circuits

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The research presented in this paper is concerned with the design automation of analog integrated circuits, simply called analog synthesis. A new algorithm, namely a simulated annealing algorithm with multi-molecule (SAMM), is proposed to solve analog synthesis problems. Besides inheriting the global convergence of the traditional simulated annealing algorithm (SA), SAMM can avoid the excessively time-consuming final iterations of SA, which makes it more efficient and suitable for analog synthesis. Several analog synthesis examples are also given in this paper to demonstrate the efficiency and validity of SAMM.