Piecewise Linear map enabled Harris Hawk optimization algorithm

Chaotic maps were usually introduced to improve the original swarm-based nature-inspired algorithms. Due to their chaotic characteristics, the chaotic maps were introduced to replace the pseudo random numbers in computer engineering and consequently better performance would be achieved. In this pape...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-08, Vol.1994 (1), p.12038
Main Authors: Zhao, Juan, Gao, Zheng-Ming, Zhang, Yu-Jun
Format: Article
Language:English
Subjects:
Algorithms
Chaos theory
Monte Carlo simulation
Optimization
Random numbers
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Summary:Chaotic maps were usually introduced to improve the original swarm-based nature-inspired algorithms. Due to their chaotic characteristics, the chaotic maps were introduced to replace the pseudo random numbers in computer engineering and consequently better performance would be achieved. In this paper, we introduce another chaotic improvement to the Harris hawk optimization (HHO) algorithm with Piecewise Linear map. Nevertheless, the chaos would be introduced to improve the randomness of the controlling parameter which was used to balance the ratio of exploration and exploitation. Monte Carlo simulation experiments were carried out and results confirmed this kind of improvements would significantly raise the capability in optimization.;
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1994/1/012038