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Solution of constrained problems using particle swarm optimiziation

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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.

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Acknowledgements

We thank the anonymous referees for their useful suggestions.

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Authors and Affiliations

  1. Department of Applied Sciences, Manav Rachna International Institute of Research and Studies, Faridabad, India

    Sunita Kumari & Pooja Khurana

  2. Department of Mathematics and Humanities, Maharishi Markandeshwar (Deemed To Be University), Mullana, Ambala, India

    Shakuntla Singla

  3. Department of Mathematics, Guru Brahmanand Women College Kurana, Panipat, Haryana, India

    Arun Kumar

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  1. Sunita Kumari
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  2. Pooja Khurana
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  3. Shakuntla Singla
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  4. Arun Kumar
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Correspondence to Arun Kumar.

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Kumari, S., Khurana, P., Singla, S. et al. Solution of constrained problems using particle swarm optimiziation. Int J Syst Assur Eng Manag 13, 1688–1695 (2022). https://doi.org/10.1007/s13198-021-01524-x

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  • DOI: https://doi.org/10.1007/s13198-021-01524-x

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