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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 12/2020

11.09.2020 | Research Article-Computer Engineering and Computer Science

Modified Harris Hawks Optimization Algorithm for Global Optimization Problems

verfasst von: Yang Zhang, Xizhao Zhou, Po-Chou Shih

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 12/2020

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Abstract

The Harris hawks optimization algorithm (HHO) is a novel swarm-based meta-heuristic algorithm. In this study, a modified Harris hawks optimization algorithm (MHHO) is proposed to enhance the searching performance of the conventional HHO. Past studies have revealed that different adjustment strategies of important variables in meta-heuristic algorithm will evidently affect the performance of the algorithm. Therefore, this study focuses on the escaping energy (E) of prey is an extremely, which is a critical concept that determines the balance between the exploration and exploitation phases of the HHO. In nature, the Harris hawks will take different the perch strategy and the chasing pattern according to E. For E, six different update strategies are designed to model the real situation. To explore the differences between the six strategies mentioned above, a comparative study through twenty representative benchmark functions is carried out by Experiment 1 (Sect. 4.2). The results show that strategy 6 (the exponential decreasing strategy) outperforms other rivals; therefore, it is deployed into the MHHO. To further demonstrate the superior search performance of MHHO, a similar comparative study between MHHO and several well-established optimization technologies is carried out by Experiment 2 (Sect. 4.3). The results clearly exhibit MHHO outperforms its rivals in most benchmark functions. In addition, compared with other well-known optimizers and the conventional HHO, the competitive results obtained by MHHO on two engineering optimization problems also prove the effectiveness and superiority of the proposed MHHO in solving constrained optimization problems.
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Metadaten
Titel
Modified Harris Hawks Optimization Algorithm for Global Optimization Problems
verfasst von
Yang Zhang
Xizhao Zhou
Po-Chou Shih
Publikationsdatum
11.09.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 12/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-04896-7

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