Abstract:
In this era of technology, for completing a task one relies heavily on computer. It has become an
important part of one’s life which helps to reduce manual work. Now a days, time plays a vital
role in an individual’s life. Hence, we need to keep track of time and distribute it at a work or
task accordingly so that it is effective and efficient. In order to achieve this, we need to manage
routine efficiently, and intelligently which is a challenge. Taking this importance and challenge
into account, we proposed the Intelligent Routine Management System, in short IRM, for
university to repair a semester’s routine. This helps us to manage routine in a way such that one
can make most out of the time, and to achieve this we used genetic algorithm (G.A.) with
constraints which makes it effective and efficient. It is a user friendly system and proposes a
routine based on the main data, the faculty preferences and few constraints. It processes the data
according to our designed genetic algorithm and checks the efficiency based on the given
constraints. Thus, it proposes a routine which is used as the class schedule for a semester of a
university.
