Improving Set-union knapsack problem based on binary spotted hyena optimization algorithm
Keywords:
Set-union knapsack problem, spotted hyena optimization algorithm, Z-shaped transfer functions, combinatorial optimization
Abstract
One pertinent model for intelligent systems and decision making is the Set-union Knapsack Problem (SUKP). Heuristic algorithms are helpful in finding high-quality answers in a reasonable amount of time, despite their inherent difficulty (NP-hardness). The binary spotted hyena optimization algorithm for the set-union knapsack problem is presented in this study. Numerous heuristic and approximation techniques for resolving the set-union knapsack issue have been documented in the literature. The quality of the solution still has to be improved, though. The purpose of this study is to apply Z-shaped transfer functions to the binary spotted hyena optimization algorithm used to solve the Set-union knapsack problem. Comparative experimental results show that Z-shaped transfer functions are competitive or superior than the other state-of-the-art transfer function. The experiments were done on three types of 30 popular SUKP benchmark examples.
Published
2025-10-24
How to Cite
Hussein, R., & Algamal, Z. (2025). Improving Set-union knapsack problem based on binary spotted hyena optimization algorithm. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2687
Issue
Section
Research Articles
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