Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm

Version 1 : Received: 7 October 2023 / Approved: 9 October 2023 / Online: 10 October 2023 (12:30:01 CEST)

A peer-reviewed article of this Preprint also exists.

Lagos-Eulogio, P.; Miranda-Romagnoli, P.; Seck-Tuoh-Mora, J.C.; Hernández-Romero, N. Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm. Computation 2023, 11, 230. Lagos-Eulogio, P.; Miranda-Romagnoli, P.; Seck-Tuoh-Mora, J.C.; Hernández-Romero, N. Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm. Computation 2023, 11, 230.

Abstract

In this work, we propose a variation of the cellular particle swarm optimization algorithm with differential evolution hybridization (CPSO-DE), to include constrained optimization in it, named Ts-CPD. It is implemented as a kernel of electronic design automation (EDA) tool capable of sizing circuit components considering a single-objective design with restrictions and constraints. The aim is to improve the optimization solutions in the sizing of analog circuits. To evaluate our proposal’s performance, we present the design of three analog circuits: a deferential amplifier, a two-stage operational amplifier, and a folded cascode operational transconductance amplifier. Numerical simulation results indicate that Ts-CPD can find better solutions, in terms of the design objective and the accomplishment of constraints, than those reported in previous works.

Keywords

cellular particle swarm optimization (CPSO); constrained optimization; circuit sizing tool; particle swarm optimization

Subject

Computer Science and Mathematics, Other

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