TY - JOUR Y1 - 2022/12// KW - Evolutionary algorithm; Differential evolution; Internet of Things; Healthcare AV - none VL - 55 JF - Physical Communication N2 - The Internet of Things (IoT) is a revolutionary technique of sharing data for smart devices that generates huge amounts of data from smart healthcare systems. Therefore, healthcare systems utilize the convergence power and traffic analysis of sensors that cannot be satisfactorily handled by the IoT. In this article, a novel mutation operator is devised and incorporated with the differential evolution (DE) algorithm. Two tests have been conducted in the validation process. Firstly, the newly dual adaption-based operators incorporated with the differential evolution algorithm are being proposed. The proposed approach provides sufficient diversity and enhances the search speed of nature?s local and global search environments in the problem. The proposed method incorporates the application of IoT-based smart healthcare. Second, an application-based test has been conducted, in which the proposed approach is applied to the application in the smart healthcare system. Therefore, IoT sensor deployment is an optimization problem to minimize service time, delay, and energy loss by considering the communication constraint between sensors(objects). The proposed algorithm is applied in this article to solve this optimization problem. Further, in the experimentation and comparative study, the proposed method is superior to the standard evolutionary algorithms in IoT applications concerning the minimum number of function evaluations and minimization of traffic services. The proposed approach also achieves efficiency in the minimum loss of energy in each service and reduces load and delay TI - Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city A1 - Singh, Shailendra Pratap A1 - Viriyasitavat, Wattana A1 - Juneja, Sapna A1 - Alshahrani, Hani A1 - Shaikh, Asadullah A1 - Dhiman, Gaurav A1 - Singh, Aman A1 - Kaur, Amandeep SN - 18744907 ID - uninimx5570 UR - http://doi.org/10.1016/j.phycom.2022.101893 ER -