An agent based modelling approach for the office space allocation problem

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

Abstract

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.

Citation

Dediu, A., Landa-Silva, D., & Siebers, P.-O. An agent based modelling approach for the office space allocation problem. Presented at 2018 European Modeling and Simulation Symposium (EMSS 2018)

• 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
• Public URL: https://nottingham-repository.worktribe.com/output/950123
• Contract Date: Jul 20, 2018