Abstract
The CoronaVirus (COVID-19) Pandemic has affected schools and universities world-wide. It has led the world to near-total closures of schools, colleges and universities. The step taken to contain the spread of novel coronavirus (COVID-19) has had adverse effects on school-going student’s literacy skills. It is the need of the time to find alternative solutions to get the schools and universities back on track. The paper discusses a theoretical approach on how we can harness the power of evolutionary algorithms to reopen schools and universities safely. The paper discusses the university timetabling problem (NP-Hard problem) to maintain social distancing and sanitization in the times of the spread of the CoronaVirus. It provides a possible use of Genetic Algorithm - a type of Evolutionary Algorithm - to resolve the issue of timetabling during the spread of novel coronavirus (COVID-19).
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