Abstract
A method based on evolutionary algorithms (genetics and random) to plan class schedules in a university has been developed. This methodology considers the students’ cognitive rhythms, which indicate that it is better to teach some subjects in some specific time intervals. First, the different techniques to solve this problem are described. Then, a new methodology based on cognitive rhythms and evolutionary algorithms is proposed, to solve the hard and soft constraints. Finally, different methodologies are compared to determine the most efficient one. It is concluded that evolutionary algorithms are more efficient than others techniques (19.5%) for planning class schedules.
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