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TY - JOUR TI - Single-Object Multi-Path Routing in Multi-Objective Networks Using Genetic Algorithm PY - %2025/%08/%25 Y2 - %2025/%12/%22 JF - Al-Mansour Journal JA - مجلة المنصور VL - 42 IS - 1 LA - en KW - Genetic algorithm KW - multi-path KW - , single object KW - multi-objective KW - evaluation score UR - https://journal.muc.edu.iq/journal/article/view/667 SP - 29-50 AB - The rapid development of the Internet of Things (IoT) and wireless communication networks has made improving data routing between nodes increasingly important. These networks face several challenges. Moreover, advanced optimization is used, most notably the Genetic Algorithm (GA), due to its ability to explore multiple solutions and improve them over successive generations by working with routing and evaluation. This work aims to develop and establish a model based on the GA to improve path routing in single-object wireless networks, taking into account four main criteria: latency, throughput, reliability, and energy consumption by using an algorithm. The results of this work show that the proposed model will provide significant improvement and balance in all criteria compared to the traditional methods. ER -