Abstract
This study considers the application of the improved Gauss-based Honey badger algorithm (Gauss-based HBA) to deal with the popular constrained optimization problem regarding the minimization of the weight of the step-cone pulley. The concept of the proposed swarm intelligence algorithm is described, and the mathematical formulation is detailed. Afterward, the step-cone pulley optimization is presented graphically with the mathematical model regarding objective function and eleven constraints. The comparative study was performed to validate the performances of the Gauss-based HBA that proved to be efficient for this optimization problem.
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Acknowledgments
This paper is part of a study in the project “Collaborative systems in the digital industrial environment” No. 142-451-2671/2021-01/02, supported by the Provincial Secretariat for Higher Education and Scientific Research of the Autonomous Province of Vojvodina and “Innovative scientific and artistic research from the FTS domain”, No. 451-03-68/2020-14/200156, supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.
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Đurđev, M., Milošević, M., Lukić, D., Antić, A., Novaković, B., Đorđević, L. (2023). Gauss-Based Honey Badger Algorithm for Step-Cone Pulley Optimization Problem. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_9
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DOI: https://doi.org/10.1007/978-3-031-31066-9_9
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