Multiobjective fuzzy-GSK algorithm in uncertain project management environments

This research presents a novel fuzzy-gaining sharing knowledge-based algorithm (fuzzy-GSK) for addressing the complexities and uncertainties of real-world multiobjective optimization problems. The fuzzy-GSK algorithm hybridizes fuzzy logic with the gaining-sharing knowledge-based system to improve robustness and flexibility. In this algorithm, fuzzy logic addresses the inherent uncertainties in project management environments, while GSK optimizes the competing objectives. The fuzzy-GSK algorithm is tested on benchmark problems and evaluated against other leading algorithms. The experimental results reveal that fuzzy-GSK outperforms in terms of robustness, convergence, and solution quality. Additionally, the proposed algorithm is applied to real-world multiobjective optimization problems in project management, demonstrating strong competitiveness against other algorithms.