hHHO-IGWO: A New Hybrid Harris Hawks Optimizer for Solving Global Optimization Problems
Dinesh Dhawale, Vikram Kumar Kamboj · 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) · 2020
This paper proposes a hybrid meta-heuristic optimization technique that combines the benefits of Harris Hawks's optimization and Improved Grey wolf optimization. An attempt is made to develop a more efficient method for reaching an exploration to the exploitation phase. Also, hHHO-IGWO provides more scope for finding the best possible solution for solving the various optimization problems. The algorithm is tested for 23 standard benchmarked test functions and the results are verified by a comparative study with nine renowned Optimizer. The results of suggested hHHO- IGWO algorithm is found to be more efficient to provide better results in terms of convergence.