Hierarchical synthesis system with hybrid DLO‐MOGA optimization

Abstract

Purpose

The purpose of this paper is to present a hierarchical circuit synthesis system with a hybrid deterministic local optimization – multi‐objective genetic algorithm (DLO‐MOGA) optimization scheme for system‐level synthesis.

Design/methodology/approach

The use of a local optimization with a deterministic algorithm based on linear equations which is computationally efficient and improves the feasibility of designs, allows reduction in the number of MOGA generations required to achieve convergence.

Findings

This approach reduces the total number of simulation iterations required for optimization. Reduction in run time enables use of full transistor‐level models for simulation of critical system‐level sub‐blocks. Consequently, for system‐level synthesis, simulation accuracy is maintained. The approach is demonstrated for the design of pipeline analog‐to‐digital converters on a 0.35 μm process.

Originality/value

The use of a hybrid DLO‐MOGA optimization approach is a new approach to improve hierarchical circuit synthesis time while preserving accuracy.

Citation

Gerard Scanlan, A. and Halton, M.K. (2011), "Hierarchical synthesis system with hybrid DLO‐MOGA optimization", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 30 No. 2, pp. 741-761. https://doi.org/10.1108/03321641111101186