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NCHHO_OptimizationA​lgorithm_IoV_Applic​ation

version 1.0.0 (6.84 KB) by Ali Sadiq
NCHHO uses chaotic and nonlinear control parameters to improve HHO’s optimization performance and solve IoV related routing problem

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Updated 06 Jun 2021

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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 proposed NCHHO algorithm shows an improved performance using a variety of chaotic maps that were implemented to identify the most effective one, and tested on several well-known benchmark functions. Also, this work considers solving an Internet of Vehicles (IoV) optimization problem that showcases the applicability of NCHHO in solving large-scale, real-world problems.

Cite As

Ali Sadiq (2021). NCHHO_OptimizationAlgorithm_IoV_Application (https://www.mathworks.com/matlabcentral/fileexchange/93560-nchho_optimizationalgorithm_iov_application), MATLAB Central File Exchange. Retrieved .

Dehkordi, Amin Abdollahi, et al. “Nonlinear-Based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles Application.” Applied Soft Computing, Elsevier BV, June 2021, p. 107574, doi:10.1016/j.asoc.2021.107574.

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