Optimization of solder joints in embedded mechatronic systems via Kriging-assisted CMA-ES algorithm

Hamdani, Hamid; Radi, Bouchaïb; Hami, Abdelkhalak El

doi:10.1051/smdo/2019002

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…CMA-ES is gaining popularity and is becoming the benchmark algorithm in metaheuristic optimization. It has been successfully applied to several engineering disciplines including: environmental engineering [32], acoustics [33], electronics [34], hydrogeology [35], medicine [36], thermal and fluid flow [37], structural mechanics and failure [38], and many others. CMA-ES is particularly efficient for non-convex, poorly conditioned, multimodal optimization problems and with noisy evaluations of the objective function.…”

Section: Cmaes Algorithmmentioning

confidence: 99%

Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)

Zouhri

Kaidi

Smaoui

2021

Water

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The present paper proposes the numerical solution of an inverse problem in groundwater flow (Darcy’s equation). This solution was achieved by combining a high-resolution new code HYSFLO-LBM (Hydrodynamic of Subsurface Flow by Lattice Boltzmann Method), based on LBM, to solve the direct problem, and the metaheuristic optimization algorithm CMA-ES ES (Covariance Matrix Adaptation-Evolution Strategy) to solve the optimization step. The integrated optimization algorithm which resulted from this combination, HYSFLO-LBM/CMA-ES, was applied to the hydrogeological experimental site of Beauvais (Northern France), instrumented by a set of sensors distributed over 20 hydrogeological wells. Hydrogeological parameters measured by the sensors are necessary to understand the aquifer functioning and to serve as input data for the identification of the transmissivity field by the HYSFLO-LBM/CMA-ES code. Results demonstrated an excellent concordance between the integrated optimization algorithm and hydrogeological applied methods (pumping test and magnetic resonance sounding). The spatial distribution of the transmissivity and hydraulic conductivity are related to the heterogeneous distribution of aquifer formations. The LBM and CMA-ES were chosen for their proven excellent performance and lesser cost, in terms of both money and time, unlike the geophysical survey and pumping test. The model can be used and developed as a decision support tool for integrated water resources management in the region.

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Section: Cmaes Algorithmmentioning

confidence: 99%

Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)

Zouhri

Kaidi

Smaoui

2021

Water

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“…To achieve the optimized conceptual design specialized with some response variables based on the given parameters as independent input variables, the Response Surface Methodology [16], which combines the advanced Design Of Experiment (DOE), modern statistical and mathematical techniques, is adopted in this article. In consequence, the RSM of this article defines a second-order functional as the response surface to fit the relationship between the single response y and design matrix with input variables (x 1 , x 2 , … , x k ) with unknown parameters b ij of the RSM [17]:…”

Section: Response Surface Methodologymentioning

confidence: 99%

Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach

Yue

Bassir

Medromi

et al. 2020

Int. J. Simul. Multidisci. Des. Optim.

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In order to overcome the propre disadvantages of FW(Fixed-Wing) and VTOL(Vertical-Taking-Off-and-Landing) UAV (Unmanned Aerial Vehicle) and extend its application, the hybrid drone is invested more in recent years by researchers and several classifications are developed on the part of dual system. In this article, an innovative hybrid UAV is raised and studied by introducing the canard configuration that is coupled with conventional delta wing as well as winglet structure. Profited by Computational Fluid Dynamics (CFD) and Response Surface Method (RSM), a multilevel optimization approach is practically presented and concerned in terms of cruise flight mode: adopted by an experienced-based distribution strategy, the total lift object is respectively assigned into the delta wing (90–95%) and canard wing(5–10%) which is applied into a two-step optimization: the first optimization problem is solved only with the parameters concerned with delta wing afterwards the second optimization is successively concluded to develop the canard configuration considering the optimized delta wing conception. Above all, the optimal conceptual design of the delta and canard wing is realized by achieving the lift goal with less drag performance in cruise mode.

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“…CMA-ES is based on the four principles of natural selection: evolution, selection, recombination and mutation [35]. The implementation of evolutionary operations ensures this approach, to guide the approach towards a global optimum in a space of continuous or discrete research [36]. CMA-ES (l, m) is based on the adaptation of the covariance matrix of the multinormal law in R n , this adaptation is equivalent to the construction of an approximation of the objective function f, this method generates l new individuals from m elements of the population.…”

Section: Covariance Matrix Adaptation-evolution Strategy (Cma-es)mentioning

confidence: 99%

Optimization based on electro-thermo-mechanical modeling of the high electron mobility transistor (HEMT)

Amar

Radi

Hami

2022

Int. J. Simul. Multidisci. Des. Optim.

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The electro-thermomechanical modeling study of the High Electron Mobility Transistor (HEMT) has been presented, all the necessary equations are detailed and coupled. This proposed modeling by the finite element method using the Comsol multiphysics software, allowed to study the multiphysics behaviour of the transistor and to observe the different degradations in the structure of the component. Then, an optimization study is necessary to avoid failures in the transistor. In this work, we have used the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) method to solve the optimization problem, but it requires a very important computing time. Therefore, we proposed the kriging assisted CMA-ES method (KA-CMA-ES), it is an integration of the kriging metamodel in the CMA-ES method, it allows us to solve the problem of optimization and overcome the constraint of calculation time. All these methods are well detailed in this paper. The coupling of the finite element model developed on Comsol Multiphysics and the KA-CMA-ES method on Matlab software, allowed to optimize the multiphysics behaviour of the transistors. We made a comparison between the results of the numerical simulations of the initial state and the optimal state of the component. It was found that the proposed KA-CMA-ES method is efficient in solving optimization problems.

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Optimization of solder joints in embedded mechatronic systems via Kriging-assisted CMA-ES algorithm

Cited by 15 publications

References 27 publications

Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)

Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)

Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach

Optimization based on electro-thermo-mechanical modeling of the high electron mobility transistor (HEMT)

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