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Solving structural and reliability optimization problems using efficient mutation strategies embedded in sine cosine algorithm

Author

Listed:
  • Mousumi Banerjee

    (Galgotias University)

  • Vanita Garg

    (Galgotias University)

  • Kusum Deep

    (IIT Roorkee)

Abstract

Many real-life complex problems are formulated as optimization problems. These mathematical equations generally are non-convex and non-linear functions. These problems are effectively solved using nature inspired algorithms. Sine–cosine algorithm is one of the recent advancements in field of nature inspired optimization technique. Diversification and intensification are two components of a robust nature inspired algorithm. Sine–cosine algorithm has potential to solve many real-life complex problems. However, lack of diversification ability of search space leads to investigation of different mutation strategies—Gaussian, Cauchy, Random, Polynomial, Power mutation on sine–cosine algorithm. The scope of this paper is of three folds. Firstly, to purpose a new algorithm embedded with five different mutation strategies. Secondly, to check the proposed version of algorithm on 23 benchmark problems of efficient difficulty/complexity level. Thirdly, to apply the proposed version of algorithms to solve real life problems of engineering and reliability problems.

Suggested Citation

  • Mousumi Banerjee & Vanita Garg & Kusum Deep, 2023. "Solving structural and reliability optimization problems using efficient mutation strategies embedded in sine cosine algorithm," 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. 14(1), pages 307-327, March.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01857-9
    DOI: 10.1007/s13198-023-01857-9
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    References listed on IDEAS

    as
    1. Lenin Kanagasabai, 2022. "Real Power loss reduction by hybrid pan troglodytes optimization: extreme learning machine based augmented sine: cosine algorithms," 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(3), pages 1102-1120, June.
    2. Vanita Garg & Kusum Deep, 2017. "Constrained Laplacian biogeography-based optimization algorithm," 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. 8(2), pages 867-885, November.
    3. Deepak Sinwar & Monika Saini & Dilbag Singh & Drishty Goyal & Ashish Kumar, 2021. "Availability and performance optimization of physical processing unit in sewage treatment plant using genetic algorithm and particle swarm optimization," 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. 12(6), pages 1235-1246, December.
    4. Sourav Basak & Biplab Bhattacharyya & Bishwajit Dey, 2022. "Combined economic emission dispatch on dynamic systems using hybrid CSA-JAYA Algorithm," 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(5), pages 2269-2290, October.
    5. Vanita Garg & Kusum Deep, 2019. "Portfolio optimization using Laplacian biogeography based optimization," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1117-1141, December.
    6. Sheila Mahapatra & Nitin Malik & Saurav Raj & Mohan Krishna Srinivasan, 2022. "Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer," 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(2), pages 721-734, April.
    7. Anuj Kumar & Sangeeta Pant & Mangey Ram & Shshank Chaube, 2019. "Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule," 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. 10(2), pages 276-284, April.
    8. Narinder Singh & Le Hoang Son & Francisco Chiclana & Jean-Pierre Magnot, 2020. "A new fusion of salp swarm with sine cosine for optimization of non-linear functions," Post-Print hal-02497137, HAL.
    9. A. Shobanadevi & Sumegh Tharewal & Mukesh Soni & D. Dinesh Kumar & Ihtiram Raza Khan & Pankaj Kumar, 2022. "Novel identity management system using smart blockchain technology," 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(1), pages 496-505, March.
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