Abstract
Resource allocation is a form of Constraint Satisfaction Problem (CSP) in which a set of resources must be assigned to a set of agents. Multiagent Resource Allocation (MARA) makes possible solving CSP using qualitative parameters as, for example, reduce idle time in scheduling or preferences over the set of resources to be allocated. In this paper, we are going to use a MARA approach to find a solution to the student-class allocation problem, where each class has a number of seats, each student has his preferences over the schedule and the institution requests a uniform distribution of the students in classes and some other rules.
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Cano, J.I., Sánchez, L., Camacho, D., Pulido, E., Anguiano, E. (2009). Using Preferences to Solve Student–Class Allocation Problem. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_76
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DOI: https://doi.org/10.1007/978-3-642-04394-9_76
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