Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion
To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning initialization strategy, a nonlinear control parameter co...
| المؤلفون الرئيسيون: | , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
IEEE
2023-01-01
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| سلاسل: | IEEE Access |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10164081/ |