Solution of constrained problems using particle swarm optimiziation

Sunita Kumari (), Pooja Khurana (), Shakuntla Singla () and Arun Kumar ()
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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

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 4, No 11, 1688-1695

Abstract: 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.

Keywords: Constrained optimization; MATLAB; PSO (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-021-01524-x

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