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Simulated Annealing Approach to Solution of Integrated Circuit Problems

Author

Listed:
  • Samuel Kwame Amponsah
  • Simon Kojo Appiah
  • Alex Kwaku Peprah
  • Felix Siaw-Yeboah

Abstract

This paper applies a simulated annealing (SA) algorithm to analyze and compute the power output of the interstage coupled tuned amplifier problems that are very hard to be optimized. The inverse of the power output of circuit problem is converted into multivariable unconstrained optimization problem to serve as the cost function. A variable cooling factor (VCF) incorporated into the SA algorithm to give a new algorithm, called Powell’s-simulated annealing (PSA) algorithm, was used to find the global minimum of the cost function. The PSA algorithm has been compared with the conjugate gradient and Nelder and Mead Simplex methods using the same cost function. The PSA algorithm proved to be more reliable than the other algorithms as it was always able to find optimum at a point or very close to it in a very good execution time. The solution of integrated circuit problems can easily be found through the PSA algorithm. The PSA algorithm has also been programmed to run on android smartphone systems to facilitate the computations, design and analysis of the coupled tuned amplifier problem.

Suggested Citation

  • Samuel Kwame Amponsah & Simon Kojo Appiah & Alex Kwaku Peprah & Felix Siaw-Yeboah, 2016. "Simulated Annealing Approach to Solution of Integrated Circuit Problems," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 6(8), pages 128-137.
  • Handle: RePEc:asi:joasrj:v:6:y:2016:i:8:p:128-137:id:3767
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