Synergetic fusion of Reinforcement Learning, Grey Wolf, and Archimedes optimization algorithms for efficient health emergency response via unmanned aerial vehicle-Reference-Cited by-同舟云学术

Synergetic fusion of Reinforcement Learning, Grey Wolf, and Archimedes optimization algorithms for efficient health emergency response via unmanned aerial vehicle

Published:2022-12-28 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Gupta Himanshu¹,Sreelakshmy K.¹,Verma Om Prakash¹^ORCID,Sharma Tarun Kumar²,Ahn Chang Wook³,Goyal Kapil Kumar⁴

Affiliation:

1. Department of Instrumentation and Control Engineering Dr. B R Ambedkar National Institute of Technology Jalandhar Punjab India

2. Department of Computer Science and Engineering Shobhit Institute of Engineering and Technology (Deemed‐to‐be University) Meerut Uttar Pradesh India

3. AI Graduate School Gwangju Institute of Science and Technology Gwangju South Korea

4. Department of Industrial and Production Engineering Dr. B R Ambedkar National Institute of Technology Jalandhar Punjab India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13224

Reference54 articles.

1. UAV path planning using artificial potential field method updated by optimal control theory

2. Artificial intelligence (AI)-enhanced medical drones in the healthcare supply chain (HSC) for sustainability development: A case study

3. EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification

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