An Enhanced Harris Hawks Optimization Algorithm for High-Dimensional Optimization Problems
摘要
This study deals with an improved form of harris’ hawks (HHA) approach, called EHHA. The EHHA has been introduced to resolve engineering design issues as well as high-dimensional challenges. We implement an original technique for the transition phase, named enhanced transition phase, to boost the effectiveness of the EHHA to improve the global search ability and then to discover the optimum answer. A novel exploration coefficient blending trigonometric/hyperbolic functions is adopted to enhance transition-phase diversity. To evaluate the effectiveness of the EHHA, spring, welded beam design with high dimension problems are employed. The outcomes show that for engineering issues as well as high dimensional challenges, the EHHA outperforms the other well-known methods in terms of global search and exploitation capability.