Abstract
AbstractA secured networking model is essential to handle the logistics networks. In this article are going to see an intelligent secured networking model to identify the optimal path for cold chain logistics to hospitals. The optimal path finder is used to find the path between point A to point B, which is short & best. It also considers the road traffic and cost of transport. The cold chain logistics to the hospitals, includes medicines & vaccines which are to be stored in a particular temperature. Thus path optimization is more essential in cold chain logistics to hospitals than other type of logistics. In this research Bee-Ant Optimization Algorithm (BAOA) is proposed to perform the intelligent transportation to the hospitals. The proposed algorithm is compared with the existing Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Neural Network Model. From the results it can be observed that the proposed algorithm shows 98.83% for accurate delivery of logistics to the hospitals.KeywordsHospitalsLogistics networkSecured networking modelOptimal pathBee-Ant Optimization Algorithm (BAOA)Artificial Intelligence (AI)
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