Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/4014 2019 2019 Computer Center, University of Anbar, Anbar, Iraq Sameeh Sameeh College of Computer Science and Information Technology, University of Anbar, Anbar, Iraq Ahmed Subhi Abdalkafor Department of Vocational Education in Anbar, Ministry of Education, Anbar, Iraq; Department of Computer Sciences, College of Science, University of Al Maarif, Al Anbar, 31001, Iraq Sameeh Abdulghafour Jassim The rapid development of intelligent computing has led to Internet of Things (IoT) applications and embedded devices suffering from severe constraints on energy, processing, and memory. This calls for fast and lightweight algorithms that maintain performance accuracy without draining resources or affecting response time. This paper presents a new hybrid metaheuristic algorithm that combines the advantages of four optimization algorithms to achieve efficient results and reduce computational complexity without compromising output quality. Experiments demonstrate significant improvements in performance and execution time compared to traditional algorithms, in addition to the algorithm's ability to scale and handle diverse workloads. The lowest improvement of the proposed algorithm compared to other algorithms was approximately 25.7%. This algorithm opens up prospects for effective applications in smart systems in urban and industrial areas. 2026 2026 72 84 10.54216/JISIoT.180205 https://www.americaspg.com/articleinfo/18/show/4014