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An agent based modelling approach for the office space allocation problem

Dediu, Alexandra; Landa-Silva, Dario; Siebers, Peer-Olaf


Alexandra Dediu


This paper describes an agent based simulation model to create solutions for the office space allocation (OSA) problem. OSA is a combinatorial optimization problem concerned with the allocation of available office space to a set of entities such as people. The objective function in the OSA problem involves the minimization of space misuse and the minimization of soft constraints violations. Several exact and heuristic algorithms have been proposed to tackle this problem. This paper proposes a rather different approach by decomposing the problem into smaller goals, which are delegated to individual agents each representing an entity in the problem. Agents have an internal decision making process which guides them throughout their search process for a better allocation (room). That is, agents seek to satisfy their individual requirements in terms of room space and constraints. Computational experiments show that the agent based model exhibits competitive performance in terms of solution quality and diversity when compared to neighborhood search heuristics.


Dediu, A., Landa-Silva, D., & Siebers, P. (2018). An agent based modelling approach for the office space allocation problem.

Conference Name 2018 European Modeling and Simulation Symposium (EMSS 2018)
End Date Sep 19, 2018
Acceptance Date Jun 19, 2018
Publication Date Sep 17, 2018
Deposit Date Jul 20, 2018
Publicly Available Date Sep 17, 2018
Peer Reviewed Peer Reviewed
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