| Autor: |
Khaleel, Omar I., Hussein, Nazar K. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2834 Issue 1, p1-24, 24p |
| Abstrakt: |
Harris's Hawk Optimization (HHO) algorithm, is a population-based optimization algorithm, which has good efficiency in solving optimization problems. However, HHO suffers from getting caught up in local optimizations and is almost slow convergence. To avoid these problems and because the Quadratic Interpolation (QI) method is considered one of the efficient local search algorithms, the Quadratic Interpolation Harris's Hawk Optimization (QIHHO) algorithm was proposed, in which (QI) is used in order to overcome the problem of falling into the local solution. On the other side, the exploit is modified by introducing a parameter that speeds up the effective convergence process. Which helps to improve the exploitation and accuracy of solutions. Furthermore, the algorithm attempts to achieve a balance between exploitation and exploration. QIHHO is compared to many standard algorithms on 23 classical standards mission. Experimental results show that QIHHO has good exploitation and efficient exploration compared with HHO and other population algorithms. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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