Comparative performance of HICM variants based on solution quality, convergence time, and stability.

Comparative performance of HICM variants based on solution quality, convergence time, and stability.

<p>The hybrid model (HICM-Full) outperforms standalone configurations, showcasing the effectiveness of combining Tabu Search and Simulated Annealing.</p>

Saved in:

Bibliographic Details
Main Author:	Mohammed Albekairi (21615782) (author)
Other Authors:	Meshari D. Alanazi (21615785) (author), Turki M. Alanazi (17990269) (author), Mohamed Vall O. Mohamed (21615788) (author), Khaled Kaaniche (21615791) (author), Anis Sahbani (21615794) (author), Ali Elrashidi (19712176) (author)
Published:	2025
Subjects:	Medicine Sociology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified tabu search approaches reliably provide end process inquiries autonomously organized computing approaches high computational cost gained significant attention convergent optimization issue dynamic service contexts xlink "> human model &# 8217 make robots better proposed hicm incorporates hicm fared better provide timely services inefficient service matching elevated failure rates robotic query processing handle human questions failure rates customer service time human robots must robotic agents processing systems model evaluates matching ratio human questions existing query services suited appropriate services accessible services various domains using self support system success factor specific solutions robot interaction research introduces primary disadvantages making framework industrial automation including healthcare important metrics findings demonstrate competing models combining annealing calculate quickly autonomous nature 87 %. 09 %,
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Cannot write session to /tmp/vufind_sessions/sess_dqesvpm822bdq7n877jh7fk3m4