Multi-objective fuzzy-based adaptive memetic algorithm with hyper-heuristics to solve university course timetabling problem

Ghaffar, Abdul and Sattar, Mian Usman and Munir, Mubbasher and Qureshi, Zarmeen (2021) Multi-objective fuzzy-based adaptive memetic algorithm with hyper-heuristics to solve university course timetabling problem. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

The university course timetabling is an NP-hard (non-deterministic polynomial-time hard) optimization problem to create a course timetable without conflict. It must assign a set of subject classes to a fixed number of timeslots with physical resources, including rooms and teachers. Avoiding hard con

Item Type: Article
Date Deposited: 04 Mar 2026 15:35
Last Modified: 11 Apr 2026 12:32
URI: http://eprints.eai.eu/id/eprint/39995

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