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Optimal design of high speed symmetric switching CMOS inverter using hybrid harmony search with differential evolution

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Abstract

In this paper, a hybrid meta-heuristic search algorithm is proposed with the combination of harmony search (HS) algorithm and differential evolution (DE) algorithm, which is named as HS-DE. HS is an optimization method mimicking the music improvisation process where musicians invent their instruments’ pitches searching for a perfect state of harmony. DE is a stochastic and population-based heuristic approach having the capability to solve global optimization problems. The main idea is to hybrid together the fine tuning capability of DE with the ability of exploration in HS to get better near-global solution by utilizing both algorithms’ strengths. Here, HS-DE is used for optimal symmetric switching characterization of CMOS inverter. The performance of HS-DE is compared with conventional particle swarm optimization reported in the recent literature. HS-DE-based design results are also compared with the PSPICE results. Extensive simulation results justify superior optimization capability of HS-DE over the afore-mentioned optimization technique for the examples considered and can be efficiently used for optimal CMOS inverter design.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, NIT Durgapur, Durgapur, India

    Bishnu Prasad De, R. Kar & D. Mandal

  2. Department of Electrical Engineering, NIT Durgapur, Durgapur, India

    S. P. Ghoshal

Authors
  1. Bishnu Prasad De
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  2. R. Kar
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  3. D. Mandal
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  4. S. P. Ghoshal
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Corresponding author

Correspondence to R. Kar.

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Communicated by V. Loia.

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De, B.P., Kar, R., Mandal, D. et al. Optimal design of high speed symmetric switching CMOS inverter using hybrid harmony search with differential evolution. Soft Comput 20, 3699–3717 (2016). https://doi.org/10.1007/s00500-015-1731-4

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