Work

Development and evaluation of hybrid harris hawks optimization algorithms for advanced engineering applications

Year: 2025

Type: article

Abstract: (multiple disk clutch, gear train), while average runtimes remained below 0.01 s for most hybrids, markedly faster than champion algorithms such as SPS-L-SHADE-EIG (> 1.4 s) and WMA (> 1.8 s). The results highlight that hybridization significantly enhances HHO's robustness, solution accuracy, and adaptability for solving large-scale, nonlinear, and constrained optimization problems in engineering and scientific domains.

Source: Scientific Reports

DOI: 10.1038/s41598-025-23624-5

Authors: Himanshu Sharma, Jumi Bharali, Manish Motghare, Krishan Arora, Cheolhee Yoon, Gyanendra Prasad Joshi

Institutions: Raisoni Group of Institutions, Lovely Professional University, Korean National Police University, Kangwon National University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,690

Funder: Institute for Information and Communications Technology Promotion