Stochastic algorithms in electromagnetic optimization

Alotto, Piergiorgio; Eranda, C.; Brandstätter, Bernhard; Furntratt, G.; Magele, Christian; Molinari, G.; Nervi, M.; Preis, Kurt; Repetto, Maurizio; Richter, K.R.

doi:10.1109/20.718528

Cited by 106 publications

(45 citation statements)

References 28 publications

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“…Evolutionary algorithms are stochastic optimisation algorithms where the optimum seeking process is based on the principles of organic evolution. [20]. These algorithms are based on the competition among individuals in a population.…”

Section: Methodsmentioning

confidence: 99%

Estimation of the Thermal Properties of PCMs through Inverse Modelling

Cascone

Perino

2015

Energy Procedia

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Even though the use of Phase Change Materials (PCMs) is promising to improve the energy efficiency of buildings, their application in the building sector is still very limited. One of the obstacles to the diffusion of PCMs is the lack of information regarding their thermo-physical properties. A method for estimating the specific heat-temperature curve of a PCM through inverse modelling is herewith presented. This method combined experimental data with a numerical tool able to simulate multilayer walls with the inclusion of PCM materials. Results were validated against tests on different samples and discussed in comparison with a low-speed DSC measurement.

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Section: Methodsmentioning

confidence: 99%

Estimation of the Thermal Properties of PCMs through Inverse Modelling

Cascone

Perino

2015

Energy Procedia

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“…[12,15,16] The simulated annealing (SA) refinement, based on the version by Alotto et al, [32] was used for optimizing selected torsion angles in peptide 1 to obtain the best fit between experimental and predicted STD-NMR intensities. The PDB coordinates used were from the peptide 1-SYA/J6 Fab complex.…”

Section: Corcema-st Calculationsmentioning

confidence: 99%

Investigation of the Binding of a Carbohydrate‐Mimetic Peptide to its Complementary Anticarbohydrate Antibody by STD‐NMR Spectroscopy and Molecular‐Dynamics Simulations

Szczepina

Bleile

Pinto

2011

Chemistry A European J

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Saturation transfer difference (STD)-NMR spectroscopy was used to probe experimentally the bioactive solution conformation of the carbohydrate mimic MDWNMHAA 1 of the O-polysaccharide of Shigella flexneri Y when bound to its complementary antibody, mAb SYA/J6. Molecular dynamics simulations using the ZymeCAD™ Molecular Dynamics platform were also undertaken to give a more accurate picture of the conformational flexibility and the possibilities for bound ligand conformations. The ligand topology, or the dynamic epitope, was mapped with the CORCEMA-ST (COmplete Relaxation and Conformational Exchange Matrix Analysis of Saturation Transfer) program that calculates a total matrix analysis of relaxation and exchange effects to generate predicted STD-NMR intensities from simulation. The comparison of these predicted STD enhancements with experimental data was used to select a representative binding mode. A protocol that employed theoretical STD effects calculated at snapshots during the entire course of a molecular dynamics (MD) trajectory of the peptide bound to the Fv portion of the antibody, and not the averaged atomic positions of receptor-ligand complexes, was also examined. In addition, the R factor was calculated on the basis of STD (fit) to avoid T1 bias, and an effective R factor, R(eff), was defined such that if the calculated STD (fit) for proton k was within error of the experimental STD (fit) for proton k, then that calculated STD (fit) for proton k was not included in the calculation of the R factor. This protocol was effective in deriving the antibody-bound solution conformation of the peptide which also differed from the bound conformation determined by X-ray crystallography; however, several discrepancies between experimental and calculated STD (fit) values were observed. The bound conformation was therefore further refined with a simulated annealing refinement protocol known as STD-NMR intensity-restrained CORCEMA optimization (SICO) to give a more accurate representation of the bound peptide epitope. Further optimization was required in this case, but a satisfactory correlation between experimental and calculated STD values was obtained. Attempts were also made to obtain STD enhancements with a synthetic pentasaccharide hapten, corresponding to the O-polysaccharide, while bound to the antibody. However, unfavorable kinetics of binding in this system prevented sufficient STD build-up, which, in turn, hindered a rigorous analysis via full STD build-up curves.

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“…Fig. 6 relies on the application of features of biological evolution, like population, mating and environmental selection, recombination, reproduction and mutation (Alotto et al, 1998). The iteration process is started by randomly generating a sufficient number of initial configurations, taking the constraints into account.…”

Section: Magnetic and Mechanical Behaviour Of Magnetorheologic Fluidsmentioning

confidence: 99%

“…An optimal design of the clutch is very important because of the limited space and the limited amount of power in a car and due to the requirement of low weight while still transmitting a certain amount of torque. In this paper a higher order (=; ) evolution strategy (ES), namely a (4=2,20) ES (Rechenberg, 1994), (Alotto et al, 1998) is applied to design a clutch which transmits a required torque while keeping the weight as light as possible. The objective function formulating these technical requirements in a mathematical way is stated using fuzzy membership functions for normalizing the individual objectives before applying appropriate inference rules to them (Bellman, Zadeh, 1970), (Magele et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a disk type magneto-rheologic fluid clutch

Jaindl

Köstinger

Magele

et al. 2007

Elektrotech. Inftech.

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To transmit a continuously adjustable torque from the main shaft to the move shaft electromagnetic clutches can be used in cars. In contrast to friction clutches, electromagnetic clutches transmit rotation by a magneto-rheologic fluid consisting of a base fluid mixed with numerous ferro-magnetic micro-sized particles. In the absence of a magnetic field a small basic torque is passed on only. Once the flux density is increased, the micro-sized particles start to form firmly tied chains increasing the transmitted torque. The magnitude of the torque can be regulated by the application of an appropriate magnetic field which is simulated by the Finite-ElementMethod. The optimal design of the clutch requires a certain torque being transmitted while keeping the weight as small as possible. This task of multi-objective optimization is performed using a higher order Evolution Strategy, a stochastic optimization method.Optimaler Entwurf einer magneto-rheologischen Flü ssigkeitskupplung. Zur Ü bertragung eines stufenlos regelbaren Moments in einem Getriebe kann man elektromagnetische Kupplungen verwenden. Anders als bei normalen Druckkupplungen wird in diesem Fall das Moment mittels einer magneto-rheologischen Flü ssigkeit ü bertragen. Diese besteht aus einer Trä gerflü ssigkeit, die mit unzä hligen Mikropartikeln versetzt ist. Ist kein Magnetfeld vorhanden, ü berträ gt die Kupplung lediglich ein geringes Grundmoment. Sobald allerdings die Flussdichte erhö ht wird, beginnen die Mikropartikel, feste Ketten zu bilden. Damit erhö ht sich auch das ü bertragene Moment. Das fü r die Ü bertragung verantwortliche Magentfeld wird mittels der Methode der Finiten Elemente simuliert. Ein optimales Design der Kupplung soll ein gegebens maximales Moment ü bertragen und dabei ein mö glichst geringes Gewicht aufweisen. Diese Optimierungsaufgabe, einander widersprechende Ziele zu erfü llen, wird mit einer Evolutionsstrategie, einem stochastischen Optimierungsverfahren, gelö st. Schlü sselwö rter: nichtlineare Magnetfeldprobleme; magneto-rheologische Flü ssigkeiten; stochastische Optimierungsverfahren; multiple Zielfunktionen

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Stochastic algorithms in electromagnetic optimization

Cited by 106 publications

References 28 publications

Estimation of the Thermal Properties of PCMs through Inverse Modelling

Estimation of the Thermal Properties of PCMs through Inverse Modelling

Investigation of the Binding of a Carbohydrate‐Mimetic Peptide to its Complementary Anticarbohydrate Antibody by STD‐NMR Spectroscopy and Molecular‐Dynamics Simulations

Optimal design of a disk type magneto-rheologic fluid clutch

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