Transactions of Nanjing University of Aeronautics & Astronautics
Improved Whale Optimization Algorithm Based on Mirror Selection
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Abstract:
Since traditional whale optimization algorithms have slow convergence speed， low accuracy and are easy to fall into local optimal solutions， an improved whale optimization algorithm based on mirror selection （WOA-MS） is proposed. Specific improvements includes：（1） An adaptive nonlinear inertia weight based on Branin function was introduced to balance global search and local mining. （2） A mirror selection method is proposed to improve the individual quality and speed up the convergence. By optimizing several test functions and comparing the experimental results with other three algorithms， this study verifies that WOA-MS has an excellent optimization performance.
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Project Supported:
This work was supported by the Natural Science Foundation of Jiangsu Province（No. BK20151479） and the Open Foundation of Graduate Innovation Base in Nanjing University of Aeronautics and Astronautics （No. kfjj20190736）.
Clc Number:
TP181
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