Biogeography-inspired multiobjective optimization for helping MEMS synthesis

Barba, Paolo Di; Mognaschi, Maria Evelina; Venini, Paolo; Wiak, Sławomir

doi:10.1515/aee-2017-0046

Cited by 20 publications

(12 citation statements)

References 26 publications

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“…The multi-objective version of the algorithm based on the definition of the generalized fitness, which takes into account simultaneously two or more objective functions by exploiting the concept of non-dominated ranking of solutions in the objective space and crowding distance [3,8,10,11,15]. The BiMO algorithm showed good results in different field of applications [16][17][18]. However when the number of SIV and the number of islands is small, many duplicates of islands occur.…”

Section: Sa-mnsga-iii Algorithmmentioning

confidence: 99%

Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Bertoluzzo¹,

Barba²,

Dughiero³

et al. 2020

ELECTROTECHNICAL REVIEW

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The paper presents the optimal design of the electric circuit of a Wireless Power Transfer Systems used to recharge the battery of an electric car. A field-circuit model is developed for the purpose of analysis, while a Pareto-like approach-based on SA-MNSGA-III and µ-BiMO, two nature-inspired algorithms-is used for synthesis. An excellent correspondence between the results obtained with the two methods was found. Then, the optimization algorithms could be applied successfully even in more complicated cases, such as WPTSs design. Streszczenie. W artykule zaprezentowano projekt I optymalizację obwodu do bezprzewodowego transferu energii przeznaczonego do ładowania baterii samochodu elektrycznego. Wykorzystano algorytm Pareto. Uzyskano bardzo dobrą zgodność modelu z wynikami eksperymentu. Multikryterialna synteza obwodu do bezprzewodowego transferu energii elektrycznej

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Section: Sa-mnsga-iii Algorithmmentioning

confidence: 99%

Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Bertoluzzo¹,

Barba²,

Dughiero³

et al. 2020

ELECTROTECHNICAL REVIEW

View full text Add to dashboard Cite

show abstract

“…Unfortunately, simple analysis of the equations modelling the electromagnetic cantilevers does not allow a closed-form design solution and only the optimal design methods make it possible to overcome the abovementioned limitations. In general, the methods of automated optimal design are based on repeated analysis to solve the field model [ 16 ], which ultimately influence the computational budget of the simulation.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Electromagnetically Actuated MEMS Cantilevers

Barba

Gotszalk

Majstrzyk

et al. 2018

Sensors

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In this paper we present the numerical and experimental results of a design optimization of electromagnetic cantilevers. In particular, a cost-effective technique of evolutionary computing enabling the simultaneous minimization of multiple criteria is applied. A set of optimal solutions are subsequently fabricated and measured. The designed cantilevers are fabricated in arrays, which makes the comparison and measurements of the sensor properties reliable. The microfabrication process, based on the silicon on insulator (SOI) technology, is proposed in order to minimize parasitic phenomena and enable efficient electromagnetic actuation. Measurements on the fabricated prototypes assessed the proposed methodological approach.

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“…The electromagnetic cantilever were also utilized in metrology of the mechanical stress associated with the adsorbtion of molecular self-assembled layers (Scanning Acoustic Microscope SAM) on the gold cantilever surface [14]. When thiol molecules adsorb (covalently bind) on the cantilever surface, mechanical stress occurs between molecular film and cantilever leading to the structure deflection.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, simple analysis of the equations modelling the electromagnetic cantilevers does not allow a closed-form design solution and only the optimal design methods make it possible to overcome the abovementioned limitations. In general, the methods of automated optimal design are based on repeated analysis to solve the field model [14], which ultimately influence the computational budget of the simulation.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of electromagnetically actuated MEMS cantilevers

Barba¹,

Gotszalk²,

Majstrzyk³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper we present the numerical and experimental results of a design optimization of electromagnetic cantilevers. In particular, a cost-effective technique of evolutionary computing enabling the simultaneous minimization of multiple criteria is applied. A set of optimal solutions are subsequently fabricated and measured. The designed structures are fabricated in arrays, which makes the comparison and measurements of the sensor properties reliable. The microfabrication process, based on the silicon on insulator (SOI) technology, is proposed in order to minimize parasitic phenomena and enable efficient electromagnetic actuation. Measurements on the fabricated prototypes assessed the proposed methodological approach.

show abstract

Biogeography-inspired multiobjective optimization for helping MEMS synthesis

Cited by 20 publications

References 26 publications

Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Optimal Design of Electromagnetically Actuated MEMS Cantilevers

Optimal design of electromagnetically actuated MEMS cantilevers

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