Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm

Sasikumar Asaithambi; Muthaiah Rajappa

doi:10.1063/1.5020999

Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm

Rev Sci Instrum. 2018 May;89(5):054702. doi: 10.1063/1.5020999.

Authors

Sasikumar Asaithambi¹, Muthaiah Rajappa²

Affiliations

¹ VLSI Design Lab, TIFAC CORE, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu 613401, India.
² Information and Communication Technology, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu 613401, India.

PMID: 29864883
DOI: 10.1063/1.5020999

Abstract

In this paper, an automatic design method based on a swarm intelligence approach for CMOS analog integrated circuit (IC) design is presented. The hybrid meta-heuristics optimization technique, namely, the salp swarm algorithm (SSA), is applied to the optimal sizing of a CMOS differential amplifier and the comparator circuit. SSA is a nature-inspired optimization algorithm which mimics the navigating and hunting behavior of salp. The hybrid SSA is applied to optimize the circuit design parameters and to minimize the MOS transistor sizes. The proposed swarm intelligence approach was successfully implemented for an automatic design and optimization of CMOS analog ICs using Generic Process Design Kit (GPDK) 180 nm technology. The circuit design parameters and design specifications are validated through a simulation program for integrated circuit emphasis simulator. To investigate the efficiency of the proposed approach, comparisons have been carried out with other simulation-based circuit design methods. The performances of hybrid SSA based CMOS analog IC designs are better than the previously reported studies.