Data for: Nonlinear based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles Application

Published: 5 June 2021| Version 1 | DOI: 10.17632/gz4wd6gdr5.1
Contributors:
Ali Sadiq,
,
Seyedali Mirjalili

Description

To alleviate the drawbacks of this algorithm, a modified version called Nonlinear based Chaotic Harris Hawks Optimization (NCHHO) is proposed in this paper. NCHHO uses chaotic and nonlinear control parameters to improve HHO’s optimization performance. The main goal of using the chaotic maps in the proposed method is to improve the exploratory behavior of HHO. In addition, this paper introduces a nonlinear control parameter to adjust HHO’s exploratory and exploitative behaviours. The performance of NCHHO’s is developed using a variety of chaotic maps to identify the most effective one and tested on several well-known benchmark functions. The results demonstrate the NCHHO algorithm provides very competitive, often superior, results compared to the other algorithms. The paper also considers solving an Internet of Vehicles optimization problem that showcases the applicability of NCHHO.

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