A New Efficient Method for Global Discrete Multilevel Optimization Combining Branch-and-Bound and Space-Mapping

Tran, Trung-Viet; Brisset, S.; Brochet, P.

doi:10.1109/tmag.2009.2012750

Cited by 14 publications

(11 citation statements)

References 7 publications

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“…It is important that the surrogate is physically based [10], so that it can give a reliable prediction of the original structure's behavior under the modification of its designable parameters. One of the most successful techniques in microwave engineering exploiting physically based surrogate models is space mapping (SM) [11–20]. SM replaces direct optimization of a CPU‐intensive structure (“fine” model) by iterative optimization and updating of so‐called coarse models that are less accurate but cheaper to evaluate.…”

Section: Introductionmentioning

confidence: 99%

Obstructive uropathy caused by an inguinal hernia in a kidney transplant recipient: Report of hernia cure by the shouldice technique

Tran

Gaboriault

Collette

et al. 2011

Dialysis & Transplantation

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We report the case of kidney graft dysfunction secondary to ureteral obstruction caused by an inguinal hernia. A 52‐year‐old renal transplant recipient was admitted to our transplantation unit for abdominal pain and acute rise in serum creatinine level. Radiological work‐up showed that the distal transplant ureter was trapped in a left inguinal hernia. After placement of a temporary percutaneous nephrostomy tube and hernia repair by the Shouldice technique, the graft function improved and has remained stable at 1 year of follow‐up. Although infrequent, inguinal hernia can be a cause of obstructive uropathy and graft failure in a transplanted kidney, and the Shouldice technique is appropriate for cure of hernia in this setting. Dial. Transplant. © 2011 Wiley Periodicals, Inc.

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Section: Introductionmentioning

confidence: 99%

Obstructive uropathy caused by an inguinal hernia in a kidney transplant recipient: Report of hernia cure by the shouldice technique

Tran

Gaboriault

Collette

et al. 2011

Dialysis & Transplantation

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“…It has been recently used for solving optimization problems of electromagnetic converters (Encica et al, 2008b;Tran et al, 2009). This technique requires a second model, faster but less accurate, of the device to be optimally sized.…”

Section: Osmmentioning

confidence: 99%

n-level output space mapping for electromagnetic design optimization

Ayed

Brisset²

2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -The aim of this paper is to reduce the evaluations number of the fine model within the output space mapping (OSM) technique in order to reduce their computing time. Design/methodology/approach -In this paper, n-level OSM is proposed and expected to be even faster than the conventional OSM. The proposed algorithm takes advantages of the availability of n models of the device to optimize, each of them representing an optimal trade-off between the model error and its computation time. Models with intermediate characteristics between the coarse and fine models are inserted within the proposed algorithm to reduce the number of evaluations of the consuming time model and then the computing time. The advantages of the algorithm are highlighted on the optimization problem of superconducting magnetic energy storage (SMES). Findings -A major computing time gain equals to three is achieved using the n-level OSM algorithm instead of the conventional OSM technique on the optimization problem of SMES. Originality/value -The originality of this paper is to investigate several models with different granularities within OSM algorithm in order to reduce its computing time without decreasing the performance of the conventional strategy.

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“…4) Algorithm layer: is a factory class containing the optimization algorithms. Evolutionary stands for evolutionary stochastic algorithms [8]; EE for an exhaustive enumeration [4]; BB for a branch-and-bound algorithm [9]; Interval for interval branch-and-bound algorithm [10]. There is a possibility of plugging a third-party algorithm through the API.…”

Section: Structure Of the Environmentmentioning

confidence: 99%

“…3) Branch-and-bound algorithm [9]: Algorithm 2 illustrates the general idea of the method for mono-objective optimization problems. Practically, it is possible to use this algorithm for the multi-objective problems by applying the scalarization techniques (ǫ-constraint, weighted metrics Fig.…”

Section: ) Evolutionary Algorithmmentioning

confidence: 99%

Challenges in developing a platform for optimization of induction machines

Samarkanov

Gillon

Brochet

et al. 2013

2013 International Electric Machines &Amp; Drives Conference

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In the paper the platform facilitating the process of design of induction machines are presented. It is deployed at the manufacturer of high power induction machines and used for aiding design engineers in the process search of the set of optimal configurations. It permits treating the highly constrained problem with discrete variables and make use of database of already calculated solutions. One user case of the platform utilization is presented. It is proven that it can be an effective tool for the decreasing the time and the costs of induction machine design procedure.

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A New Efficient Method for Global Discrete Multilevel Optimization Combining Branch-and-Bound and Space-Mapping

Cited by 14 publications

References 7 publications

Obstructive uropathy caused by an inguinal hernia in a kidney transplant recipient: Report of hernia cure by the shouldice technique

Obstructive uropathy caused by an inguinal hernia in a kidney transplant recipient: Report of hernia cure by the shouldice technique

n-level output space mapping for electromagnetic design optimization

Challenges in developing a platform for optimization of induction machines

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