Yongkang Gong

Jiangxi University of Science and Technology

Papers

Total Citations

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About

Dr. Yongkang Gong is a rising researcher in computational intelligence and optimization algorithms, with a primary focus on enhancing metaheuristic methods for complex problem-solving. His most notable contribution is the development of the Gravity Balance-based Whale Optimization Algorithm (GWOA), an improved variant of the standard Whale Optimization Algorithm (WOA). By integrating a gravity balance mechanism, his work addresses key limitations in WOA, such as premature convergence and low accuracy, significantly boosting the algorithm’s stability and precision in tackling optimization challenges. This foundational paper has already garnered 3 citations, signaling growing interest in his innovative approach. Dr. Gong’s research lies at the intersection of swarm intelligence and nature-inspired computing, aiming to refine algorithmic performance for real-world engineering and scientific applications. His work on GWOA not only advances theoretical understanding but also offers practical tools for fields requiring robust optimization, such as data mining and engineering design. As a dedicated scholar, Dr. Gong continues to push boundaries in algorithmic enhancement, making him a promising voice in the optimization research community.