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arXiv · 2608.21042

Optimal Sensor Placement for Output Estimation Using an Artificial Bee Colony Algorithm with Pre-filter

R. P. P. F. Goetz·Y. Dwaraga·N. van de Wouw·T. Oomen·M. M. J. van de Wal·B. Sharif·H. J. Zwart
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Abstract

Sensor placement for maximizing the estimation performance of the Kalman filter is an NP-hard optimization problem. Furthermore, its feasible set grows combinatorially with the candidate locations and the number of sensors. In this paper, we study this sensor placement problem for a 3D thermoelastic system modelled as a discrete-time linear stochastic model. We use the Novel Binary Artificial Bee Colony (NBABC) algorithm with a Gramian-based pre-filter to reduce the computational complexity. Our results show the efficiency and the fast convergence of the proposed approach.

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R. P. P. F. Goetz, Y. Dwaraga, N. van de Wouw, T. Oomen, M. M. J. van de Wal, B. Sharif, H. J. Zwart. 2026-08-21. Optimal Sensor Placement for Output Estimation Using an Artificial Bee Colony Algorithm with Pre-filter. https://arxiv.org/abs/2608.21042

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