American Psychological Association 6th edition

Mandal, G., Kumar, N., & Bhunia, A. K. (2025). A comparative performance of different Type-1 tournament based metaheuristic algorithms in solving engineering beam design optimization problems and structural engineering design problems. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 29(7), 3415-3442. https://doi.org/10.1007/s00500-025-10611-1

ISO-690 (author-date, English)

MANDAL, Goutam, KUMAR, Nirmal and BHUNIA, Asoke Kumar, 2025. A comparative performance of different Type-1 tournament based metaheuristic algorithms in solving engineering beam design optimization problems and structural engineering design problems. Soft Computing: A Fusion of Foundations, Methodologies and Applications. 1 April 2025. Vol. 29, no. 7, p. 3415-3442. DOI 10.1007/s00500-025-10611-1.

Modern Language Association 9th edition

Mandal, G., N. Kumar, and A. K. Bhunia. “A Comparative Performance of Different Type-1 Tournament Based Metaheuristic Algorithms in Solving Engineering Beam Design Optimization Problems and Structural Engineering Design Problems”. Soft Computing: A Fusion of Foundations, Methodologies and Applications, vol. 29, no. 7, Apr. 2025, pp. 3415-42, https://doi.org/10.1007/s00500-025-10611-1.

Mohr Siebeck - Recht (Deutsch - Österreich)

Mandal, Goutam/Kumar, Nirmal/Bhunia, Asoke Kumar: A comparative performance of different Type-1 tournament based metaheuristic algorithms in solving engineering beam design optimization problems and structural engineering design problems, Soft Computing: A Fusion of Foundations, Methodologies and Applications 2025, 3415-3442.

Emerald - Harvard

Mandal, G., Kumar, N. and Bhunia, A.K. (2025), “A comparative performance of different Type-1 tournament based metaheuristic algorithms in solving engineering beam design optimization problems and structural engineering design problems”, Soft Computing: A Fusion of Foundations, Methodologies and Applications, Vol. 29 No. 7, pp. 3415-3442.

Warning: These citations may not always be 100% accurate.