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

Mousumi Banerjee (), Vanita Garg () and Kusum Deep ()
Additional contact information
Mousumi Banerjee: Galgotias University
Vanita Garg: Galgotias University
Kusum Deep: IIT Roorkee

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 1, No 21, 307-327

Abstract: 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.

Keywords: Sine–cosine algorithm; Gaussian mutation; Cauchy mutation; Random mutation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-023-01857-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01857-9

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-023-01857-9

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().