Chengtian Ouyang

Jiangxi University of Science and Technology

Papers

Total Citations

173

H-Index

About

Chengtian Ouyang is a computational intelligence researcher whose work focuses primarily on swarm intelligence optimization algorithms, with particular emphasis on improving metaheuristic methods for solving complex optimization problems. Ouyang has made notable contributions to the advancement of the Sparrow Search Algorithm (SSA), a relatively new swarm intelligence technique, addressing its fundamental limitations such as susceptibility to local optima and excessive randomness. His 2021 paper "A Learning Sparrow Search Algorithm," which has garnered 91 citations, introduced innovative mechanisms leveraging learning strategies to overcome the shortcomings of traditional intelligent optimization approaches, demonstrating strong performance on benchmark functions including CEC 2017. Complementing this work, his "Adaptive Spiral Flying Sparrow Search Algorithm" (79 citations) proposed sophisticated adaptive strategies to further enhance the SSA's reliability and global search capability. More recently, Ouyang extended his optimization research to the Whale Optimization Algorithm, proposing a gravity balance-based enhancement to improve accuracy and stability. Collectively, his research has meaningfully advanced the field of evolutionary computation, providing more robust and efficient optimization tools that benefit researchers tackling engineering design, function optimization, and related real-world challenges.