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Modified Quasi-Opposition-Based Grey Wolf Optimization for Mathematical and Electrical Benchmark Problems

Author

Listed:
  • Salil Madhav Dubey

    (Department of Electrical Engineering, Madhav Institute of Technology & Science (MITS), Gwalior 474005, India)

  • Hari Mohan Dubey

    (Department of Electrical Engineering, Birsa Institute of Technology Sindri (BIT Sindri), Sindri, Dhanbad 828123, India)

  • Surender Reddy Salkuti

    (Department of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Korea)

Abstract

This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions and (ii) four practical complex constrained electrical problems that include economic dispatch of 15, 40, and 140 power generating units and a microgrid problem with different energy sources. The obtained results are compared with the reported results using other methods available in the literature. Considering the solution quality of all test cases, the proposed technique seems to be a promising alternative for solving complex constrained optimization problems.

Suggested Citation

  • Salil Madhav Dubey & Hari Mohan Dubey & Surender Reddy Salkuti, 2022. "Modified Quasi-Opposition-Based Grey Wolf Optimization for Mathematical and Electrical Benchmark Problems," Energies, MDPI, vol. 15(15), pages 1-29, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5704-:d:881452
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    References listed on IDEAS

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    Cited by:

    1. Sushmita Kujur & Hari Mohan Dubey & Surender Reddy Salkuti, 2023. "Demand Response Management of a Residential Microgrid Using Chaotic Aquila Optimization," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    2. Aokang Pang & Huijun Liang & Chenhao Lin & Lei Yao, 2023. "A Surrogate-Assisted Adaptive Bat Algorithm for Large-Scale Economic Dispatch," Energies, MDPI, vol. 16(2), pages 1-23, January.

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