In this paper a Bacterial Chemotaxis shape optimization algorithm is presented for the optimal design of electromagnetic devices. The Bacterial Chemotaxis Algorithm exploits the conceptual analogy between bacteria and mesh nodes, improving the devices performance by moving the specific mesh nodes/bacteria defining the shape in the same way the bacteria move toward regions presenting better life conditions. Validation tests are also presented in order to show the performance of the developed shape optimizer.

Coco, S., Laudani, A., RIGANTI FULGINEI, F., Salvini, A. (2014). Bacterial Chemotaxis Shape Optimization of Electromagnetic Devices. INVERSE PROBLEMS IN SCIENCE & ENGINEERING, 22(6), 910-923 [10.1080/17415977.2013.840301].

Bacterial Chemotaxis Shape Optimization of Electromagnetic Devices

LAUDANI, ANTONINO;RIGANTI FULGINEI, Francesco;SALVINI, Alessandro
2014-01-01

Abstract

In this paper a Bacterial Chemotaxis shape optimization algorithm is presented for the optimal design of electromagnetic devices. The Bacterial Chemotaxis Algorithm exploits the conceptual analogy between bacteria and mesh nodes, improving the devices performance by moving the specific mesh nodes/bacteria defining the shape in the same way the bacteria move toward regions presenting better life conditions. Validation tests are also presented in order to show the performance of the developed shape optimizer.
2014
Coco, S., Laudani, A., RIGANTI FULGINEI, F., Salvini, A. (2014). Bacterial Chemotaxis Shape Optimization of Electromagnetic Devices. INVERSE PROBLEMS IN SCIENCE & ENGINEERING, 22(6), 910-923 [10.1080/17415977.2013.840301].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/122912
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