Numerical results indicate that both the FCFS and WOA approaches outperform the strategy optimized by the proposed algorithm. In the proposed NSGA, the FCFS approach and the WOA approach are contrasted. Fairness policy first come first serve (FCFS) considers the most priority factor to obtain from figure to strategies optimized solution for best satisfaction results. In the last part of the model, this paper has analyzed NSGA and WOA with three cases. This paper computes WOA and NSGA with various hypotheses to meet the analysis and different factors related to patients in the hospital. Based on these two algorithms, this paper has addressed the multi-criteria method in appointment scheduling. This research presents the whale optimization algorithm (WOA) based on the Pareto archive and NSGA-II algorithm to solve the appointment scheduling model by considering the simulation approach. The appointment date can no longer be adjusted. Healthcare schedulers typically refer patients to a suitable period of service before the admission call closes. Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management.
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