Whale Inspired Optimization Algorithm for Optimal Design of Low Voltage Amplifier
Abstract
This paper discusses the application of a new nature-inspired optimization algorithm, called Whale Optimization Algorithm (WOA), to the resolution and optimization of single- and multi-objective problems in microelectronic design field. The performances of WOA are tested on one of the more interesting analog integrated circuits (ICs), for low supply voltage applications, the low-voltage amplifier (LVA). After identifying and determining the constraints of the LVA circuit, WOA is used to optimize MOS transistors sizes. This allows the best gain, the largest bandwidth and the highest slew rate. These main characteristics are optimized in two ways. In the first step, each function is optimized on its own, keeping the others fixed. In the second, the three characteristics are combined, with equal weights, to form a single main objective function. WOA is coded in MATLAB and the obtained results are confifirmed by Cadence Virtuoso simulations in CMOS 0.18µm technology. The simulation results are 88.8dB (88.73dB), 23.92V/µs (20.52V/µs) and 24.6MHz (25.5MHz) for DC gain, slew rate and gain bandwidth in the single (multi)-objective experiment, respectively, justifying that WOA is an effective method for the design of the above mentioned circuit.References
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