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  • 1
    Online Resource
    Online Resource
    Emerald ; 2007
    In:  COMPEL - The international journal for computation and mathematics in electrical and electronic engineering Vol. 26, No. 2 ( 2007-04-10), p. 317-326
    In: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Emerald, Vol. 26, No. 2 ( 2007-04-10), p. 317-326
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2007
    detail.hit.zdb_id: 1501321-2
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  • 2
    Online Resource
    Online Resource
    Emerald ; 2013
    In:  COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Vol. 32, No. 6 ( 2013-11-11), p. 1955-1963
    In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Emerald, Vol. 32, No. 6 ( 2013-11-11), p. 1955-1963
    Abstract: – This paper aims the application of a novel hybrid algorithm, called MeTEO, based on the combination of three heuristics inspired by artificial life to the optimization of electrodes voltages of multistage depressed collector. Design/methodology/approach – The flock-of-starlings optimization (FSO), the particle swarm optimization (PSO) and the bacterial chemotaxis algorithm (BCA) were adapted to implement a hybrid and parallel algorithm: the FSO has been powerfully employed for exploring the whole space of solutions, whereas the PSO+BCA has been used to refine the FSO-found solutions, exploiting their better performances in local search. Findings – The optimization of the voltage of the electrodes of multistage depressed collector are efficiently handled with a moderate computational effort. Practical implication – The development of an efficient method for the solution of a complicated electromagnetic optimization problem, exploiting the different characteristic of different approaches based on evolutionary computation algorithm. Originality/value – The paper shows that the combination of stochastic methods having different exploration properties with appositely developed FE electromagnetic simulator allows us to produce effective solutions of multimodal electromagnetic optimization problems, with an acceptable computational cost.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2013
    detail.hit.zdb_id: 1501321-2
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  • 3
    Online Resource
    Online Resource
    Emerald ; 2012
    In:  COMPEL - The international journal for computation and mathematics in electrical and electronic engineering Vol. 31, No. 5 ( 2012-09-07), p. 1338-1346
    In: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Emerald, Vol. 31, No. 5 ( 2012-09-07), p. 1338-1346
    Abstract: The purpose of this paper is to present the application of a novel hybrid algorithm, called MeTEO (Metric‐Topological‐Evolutionary‐Optimization), based on the combination of three heuristics inspired by artificial life to the solution of optimization problems of a real electronic vacuum device. Design/methodology/approach The Particle Swarm Optimization (PSO), the Flock‐of‐Starlings Optimization (FSO) and the Bacterial Chemotaxis Algorithm (BCA) were adapted to implement a novel meta‐heuristic MeTEO the FSO has been powerfully employed for exploring the whole space of solutions, whereas the PSO is used to explore local regions where FSO had found solutions, and BCA to refine the solutions found by PSO, thanks its better performances in local search. Findings The optimization of the focusing magnetic field of a Travelling Wave Tubes (TWT) collector is presented in order to show the effectiveness of MeTEO, in combination with COLLGUN FE simulator and equivalent source representation. The optimization of the focusing magnetic structure is obtained by using a maximum of 100 steps for each heuristic. Practical implications The paper describes the development of a novel efficient parallel method for the solution of electromagnetic device optimization problems. Originality/value The paper shows the capabilities of a novel combination of optimization methods inspired by “artificial life” which allows us to achieve effective solutions of multimodal optimization problems, typical of the electromagnetic device optimization, with an acceptable computational cost, thanks also to its natural parallel implementation.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2012
    detail.hit.zdb_id: 1501321-2
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  • 4
    Online Resource
    Online Resource
    Emerald ; 2013
    In:  COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Vol. 32, No. 6 ( 2013-11-11), p. 1845-1854
    In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Emerald, Vol. 32, No. 6 ( 2013-11-11), p. 1845-1854
    Abstract: – The paper aims to illustrate the two kinds of analysis approach for which finite element method (FEM) can be successfully employed: the Poisson-Nernst-Planck (PNP) model and the Langevin-Lorentz-Poisson (LLP) one. Design/methodology/approach – The approach of this work is to try making a survey of the use of the FEM in the modelling of charge transport/ion flow across membrane channels, in particular for the PNP analysis and for a particle based model such as LLP model. Findings – In this paper, the two kinds of analysis approach for which FEM can be successfully employed, the PNP model and the LLP one, have been shown. In both cases the FEM is extremely useful to carry out these analysis and the simulation results obtained are in good agreement with experimental results. Originality/value – The value of this paper is to demonstrate the FEM is extremely useful to carry out analysis and results which are in good agreement with experimental ones.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2013
    detail.hit.zdb_id: 1501321-2
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  • 5
    Online Resource
    Online Resource
    Emerald ; 2013
    In:  COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Vol. 32, No. 6 ( 2013-11-11), p. 1964-1973
    In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Emerald, Vol. 32, No. 6 ( 2013-11-11), p. 1964-1973
    Abstract: – This paper aims the application of a novel synergy between a neural network (NN) and the finite element method (FEM) in the solution of electromagnetic problem involving hysteretic material in unbounded domain. Design/methodology/approach – The hysteretic nature of the material is taken into account by an original NN able to perform the modelling of any kind of quasi-static loop (saturated and non-saturated, symmetric or asymmetric). An appositely developed iterative FEM procedure is presented for the solution of this kind of problems in unbounded domains. Findings – By starting from a small set of measured loops, the NN manages the values of the magnetic field, H, and the flux density, B, as inputs while the differential permeability is the output. In particular, the proposed NN is capable to perform the modelling of saturated and non-saturated, symmetric or asymmetric hysteresis loops. Practical implications – The development of an efficient method for the solution of a complicated electromagnetic problem in unbounded domain by using an iterative approach and NNs, which can be implemented also in existing FEM code. Originality/value – The paper shows that the combination of FEM, iterative procedure and NNs allows us to produce effective solutions of electromagnetic problems in unbounded domains involving also nonlinear hysteretic magnetic materials with an acceptable computational cost.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2013
    detail.hit.zdb_id: 1501321-2
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  • 6
    Online Resource
    Online Resource
    Emerald ; 2012
    In:  COMPEL - The international journal for computation and mathematics in electrical and electronic engineering Vol. 31, No. 3 ( 2012-05-04), p. 816-826
    In: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Emerald, Vol. 31, No. 3 ( 2012-05-04), p. 816-826
    Abstract: The purpose of this paper is to apply a hybrid algorithm based on the combination of two heuristics inspired by artificial life to the solution of optimization problems. Design/methodology/approach The flock‐of‐starlings optimization (FSO) and the bacterial chemotaxis algorithm (BCA) were adapted to implement a hybrid and parallel algorithm: the FSO has been powerfully employed for exploring the whole space of solutions, whereas the BCA has been used to refine the FSO‐found solutions, thanks to its better performances in local search. Findings A good solution of the 8‐th parameters version of the TEAM problem 22 is obtained by using a maximum 200 FSO steps combined with 20 BCA steps. Tests on an analytical function are presented in order to compare FSO, PSO and FSO+BCA algorithms. Practical implications The development of an efficient method for the solution of optimization problems, exploiting the different characteristic of the two heuristic approaches. Originality/value The paper shows the combination and the interaction of stochastic methods having different exploration properties, which allows new algorithms able to produce effective solutions of multimodal optimization problems, with an acceptable computational cost, to be defined.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2012
    detail.hit.zdb_id: 1501321-2
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  • 7
    Online Resource
    Online Resource
    Emerald ; 2008
    In:  COMPEL - The international journal for computation and mathematics in electrical and electronic engineering Vol. 27, No. 6 ( 2008-11-14), p. 1326-1334
    In: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Emerald, Vol. 27, No. 6 ( 2008-11-14), p. 1326-1334
    Abstract: The paper's aim is to focus on the utilization of the GRID distributed computing environment in order to reduce simulation time for parameter studies of travelling wave tube (TWT) electron guns and helix slow‐wave structures. Design/methodology/approach Two TWT finite‐element analysis modules were adapted to be run on the GRID, for this purpose scripts were written to submit a collection of independent jobs (the parameter study) to the GRID and collect the results. Findings A 25‐job electron gun parameter study runs on the GRID in 30‐40 min instead of 7 h locally. A 16‐job slow‐wave structure parameter study runs in 1 h on the GRID instead of 8 h locally. Turnaround time on the GRID was limited by priority levels presently set by GRID management for the various jobs submitted. Practical implications The procedures guarantee a remarkable reduction of the computing time. Originality/value For heavy‐computational cost tasks such as the above finite element electromagnetic calculations, the effective use of a heterogeneous, distributed, computing platform (the GRID computing platform) is very advantageous. The paper shows the development of new generation collaborative tools.
    Type of Medium: Online Resource
    ISSN: 0332-1649
    Language: English
    Publisher: Emerald
    Publication Date: 2008
    detail.hit.zdb_id: 1501321-2
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