Generation Scheduling Using Quantum Inspired Evolutionary Programming

Autor/innen

  • Syed Golam Mahmud EEE, Tampere University of Technology, Finland
  • Arman Riaz Ochi EEE, American International University-Bangladesh, Bangladesh
  • Bashudeb Chandra Ghosh EEE, Khulna University of Engineering & Technology, Bangladesh

Abstract

A  new  novel  evolutionary  algorithm based  on principles  of  quantum  mechanics  known  as  quantum  inspired  evolutionary  programming (QIEP) has emerged  as  a modern  optimization  technique. QIEP is unique than other evolutionary programming for its qubit representation and superposition of states. QIEP has proven its applicability in different combinatorial problems successfully.  It can also be applied in power system optimization problem.  In this paper, we have used QIEP for generation scheduling. The results were compared with genetic algorithm-based solution for the same problem. The results showed improvement for QIEP.   Keywords: Quantum inspired evolutionary programming (QIEP), generation scheduling, genetic algorithmsCite this Article Mahmud SG, Ochi AR, Ghosh BC. Generation Scheduling Using Quantum Inspired Evolutionary Programming. Trends in Electrical Engineering (TEE). 2015; 5(1): 12–15p.

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2015-02-16

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Bd. 5 Nr. 1 (2015)

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Research Articles

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