Abstract
In this work, an algorithm based on the Bacteria Swarm Foraging Optimization was used for the dynamical resource allocation in a multiple input/output experimentation platform. This platform, which mimics a temperature grid plant, is composed of multiple sensors and actuators organized in zones. The use of the bacteria based algorithm in this application allows the search the best actuators in each sample time. This allowed us to obtain a uniform temperature over the platform. Good behavior of the implemented algorithm in the experimentation platform was observed.
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References
Passino, K.M.: Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine 22(3), 52–67 (2002)
Passino, K.M.: Distributed optimization and control using only a germ of intelligence (2000)
Muñoz, M.A., López, J.A., Caicedo, E.F.: Implementation of a distributed control experimentation platform. In: IEEE 2005 Conference on Industrial Electronics and Control Applications, IEEE Computer Society Press, Los Alamitos (2005)
Schaper, C.D., El-Awady, K.A., Tay, A.E.: Spatially programmable temperature control and measurement for chemically amplified photoresist processing. In: Dang, K., Toprac, A.J. (eds.) Procedures SPIE – Process, Equipment and Materials Control in Integrated Circuit Manufacturing V, vol. 3882, pp. 74–79 (1999)
El-Awady, K., Schaper, C.D., Kailath, T.: Temperature cycling and control system for photosensitive materials processing. Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 21(4), 1459–1465 (2003)
Quijano, N.: Experiments and technologies for decentralized temperature control. Master’s thesis, The Ohio State University (2002)
Quijano, N., Gil, A.E., Passino, K.: Experiments for dynamic resource allocation, scheduling and control. IEEE Control Systems magazine, 63–79 (2005)
Muñoz, M.A.: Asignación dinámica de recursos con técnicas bio inspiradas para un sistema de control de temperatura mimo. Technical report, Universidad del Valle (2005)
Muñoz, M.A., López, J.A., Caicedo, E.F.: Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform. In: 2006 Electronics, Robotics and Automotive Mechanics Conference, vol. 1, pp. 137–142 (2006)
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Muñoz, M.A., López, J.A., Caicedo, E. (2007). Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_43
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DOI: https://doi.org/10.1007/978-3-540-72432-2_43
Publisher Name: Springer, Berlin, Heidelberg
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