![]() ![]() GSK algorithm is based on the concept of how humans acquire and share knowledge during their life span. This article proposes a novel binary version of recently developed Gaining-Sharing knowledge-based optimization algorithm (GSK) to solve binary optimization problems is proposed. The proposed mathematical model is so general that it can be applied to cases covering the whole Governorates and even the whole country all over the world.KeywordsScheduling shuttle ambulanceCOVID-19Quarantine casesBinary programmingMulti-objective multiple knapsack problem The solution procedure is illustrated while two efficient solutions for the case study with different numbers of evacuated patients are obtained. The complete mathematical model for the problem is formulated including the representation of binary decision variables, the problem constraints, and the multi-objective functions.The proposed multi-objective multiple ambulances model is applied to an illustrated case study in Great Cairo, Egypt, the case study aims at improving the scheduling of ambulance vehicles in the back-and-forth shuttle movements between patient locations and the available multiple isolation hospitals with multiple ambulance vehicles. The best utilization of time is evaluated by a compromise between maximizing the number of evacuated people who might be infected with the virus to the isolation hospitals and maximizing the evacuated patients having higher relative priorities measured according to their health status. The proposed formulation is a multi-objective multiple 0–1 mathematical model as a new application of the multi-objective multiple 0/1 knapsack problem.The scheduling aims at achieving the best utilization of the time shift as a planning time window. ![]() This chapter is devoted to present a generalized model for scheduling multiple ambulance vehicles from multiple ambulance centers assigned to evacuate COVID-19 patients. People get the attention of every institution around them.KeywordsContributionPreventionCovid-19 University leaders everywhere can mobilize all potentials in their institutions to handle and reduce the impact of Covid-19, because such policies have a real contribution to the existing community. The practical implication of this research is that every institution and community can take action to reduce the impact of Covid-19 in accordance with their respective abilities and positions. ![]() This research is limited in the scope of participatory in helping campus communities and communities living around the campus. ![]() The results of the study can be concluded that Muhammadiyah universities in Indonesia contribute significantly in handling the transmission of Covid-19 through the production and distribution of Hand Sanitizer, production and distribution of medical face shields, distribution of groceries, online transfer of lectures, the provision of distance learning scholarships, work from home instruction, and socialization through operational cars. To find data related to the research focus, this study used qualitative methods, the data sources were university leaders, students, and several community members who were selected by random sampling, data collection was carried out by interview, observation, and documentation study. The study aims to reveal how active participation forms and real contributions of higher education institutions in preventing the transmission of the Covid-19 pandemic. ![]()
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