An enhanced grey wolf optimization algorithm with improved exploration ability for analog circuit design automation

Abstract

A novel circuit sizing technique with improved accuracy and efficiency is proposed to resolve the sizing issuesin the analog circuit design. The grey wolf optimization (GWO) algorithm has the total number of iterations dividedequally for exploration and exploitation, overlooking the impact of balance between these two phases, aimed for theconvergence at a globally optimal solution. An enhanced version of a typical GWO algorithm termed as enhanced greywolf optimization (EGWO) algorithm is presented with improved exploration ability and is successfully applied in analogcircuit design. A set of 23 classical benchmark functions is evaluated and the outcomes are compared with recent stateof the art. A conventional two-stage CMOS operational amplifier circuit realized in UMC 180nm CMOS technology isused as a benchmark to validate the efficiency and accuracy of the proposed optimization technique. A statistical studyis also conducted over the final solution to investigate the exploration ability of the algorithm proving it to be one of therobust and reliable techniques