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Solution of constrained problems using particle swarm optimiziation

Author

Listed:
  • Sunita Kumari

    (Manav Rachna International Institute of Research and Studies)

  • Pooja Khurana

    (Manav Rachna International Institute of Research and Studies)

  • Shakuntla Singla

    (Maharishi Markandeshwar (Deemed To Be University))

  • Arun Kumar

    (Guru Brahmanand Women College Kurana)

Abstract

Nature inspired algorithm has become one of the most applicable technique in literature to solve real world optimization is one of the popular and efficient optimization methods. Here in particle swarm optimization (PSO) is extended for solving cost constrained optimization problems. The analysis of PSO on constrained problems is tested through three different problems. First, the working of PSO with and without constrained problem of sphere function is explained. In the second part of analysis, a linear and nonlinear constrained problem of table design is considered. Thirdly, instance of more complex constrained optimization problem of optimal design of engineering structure is considered and results compared with other algorithms. The description and their constraints for undertaken problems analyzed.

Suggested Citation

  • Sunita Kumari & Pooja Khurana & Shakuntla Singla & Arun Kumar, 2022. "Solution of constrained problems using particle swarm optimiziation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1688-1695, August.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:4:d:10.1007_s13198-021-01524-x
    DOI: 10.1007/s13198-021-01524-x
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    References listed on IDEAS

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    1. Zhang, Enze & Wu, Yifei & Chen, Qingwei, 2014. "A practical approach for solving multi-objective reliability redundancy allocation problems using extended bare-bones particle swarm optimization," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 65-76.
    2. Richard Bellman & Stuart Dreyfus, 1958. "Dynamic Programming and the Reliability of Multicomponent Devices," Operations Research, INFORMS, vol. 6(2), pages 200-206, April.
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