| Abstract: |
| The foremost intention of this article is to develop a modified version of grey wolf optimizer (GWO) with coefficient constant. With the help of modified coefficient have enhanced the convergence performance of GWO with create a highest balance between exploration and exploitation tendency. This coefficient helps of the GWO algorithm during the search process to ignore the local optima and trapping the global optima fastly in the search area. The modified version has been applied on standard function and real-world application to examine the accuracy and performance of modified algorithm in the search space. The simulation optimal results proven that presented approach has achieves the highest accuracies with least runtime in comparison with others. |
|