A new hybrid algorithm for analog ICs optimization based on the shrinking circles technique

作者：Dehbashian Maryam; Maymandi Nejad Mohammad^*

来源：Integration, the VLSI Journal, 2017, 56: 148-166.

DOI：10.1016/j.vlsi.2016.09.009

• Analog ICs optimization
• Automated sizing tool
• The shrinking circles
• Advanced gravitational search algorithm and particle swarm optimization (Advanced GSA_PSO)
• Corners analysis

This paper presents a novel technique named the Shrinking Circles to enhance the performance of optimization algorithms embedded in automated sizing tools of analog ICs. This technique creates a balance between the exploration and exploitation capabilities when the optimization algorithm is converging to a possible optimum point. With the help of the shrinking circles concept, we upgrade a hybridization version of Gravitational Search Algorithm with Particle Swarm Optimization (Advanced GSA_PSO). Accordingly, a developed tool for the automation of analog ICs sizing is proposed. The performance of this tool is evaluated by two cases: minimizing the power consumption of a two-stage CMOS op-amp and simultaneous minimizing the circuit area and power consumption of a folded-cascade op-amp. In this paper, the corners analysis is also incorporated into the proposed circuit sizing tool based on a straightforward procedure by which this tool not only can obtain the solutions being robust against process, voltage, and temperature (PVT) variations, but also it alleviates the computational burden. Comparisons with available methods show that the proposed tool performs much better in terms of efficiency.

• 出版日期2017-1