Výsledky vyhľadávania - Optimization problems in optics and electromagnetic theory

Fast Optimization of Electromagnetic Design Problems Using the Covariance Matrix Adaptation Evolutionary Strategy Autor Gregory, M D, Bayraktar, Z, Werner, D H

“…). The results of the two electromagnetics design problems illustrate the ability of CMA-ES to provide a robust, fast and user-friendly alternative to more conventional optimization strategies such as PSO…”
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Electromagnetic-acoustic biphysical cloak designed through topology optimization Autor Fujii, Garuda, Akimoto, Youhei

“… Cloaking an object from two different waves, such as electromagnetic and acoustic waves, is a challenging problem, if not impossible, to be achieved using transformation theory and metamaterials…”
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An FFT Twofold Subspace-Based Optimization Method for Solving Electromagnetic Inverse Scattering Problems Autor Zhong, Yu, Chen, Xudong

“…A fast Fourier transform (FFT) twofold subspace- based optimization method (TSOM) is proposed to solve electromagnetic inverse scattering problems…”
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Topology Optimization of Metallic Antennas Autor Hassan, Emadeldeen, Wadbro, Eddie, Berggren, Martin

“…We introduce an approach to carry out layout optimization of metallic antenna parts…”
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Evolutionary Programming in Electromagnetic Optimization: A Review Autor Hoorfar, A.

“… electromagnetic optimization…”
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An Efficient Method for Antenna Design Optimization Based on Evolutionary Computation and Machine Learning Techniques Autor Bo Liu, Aliakbarian, Hadi, Zhongkun Ma, Vandenbosch, Guy A. E., Gielen, Georges, Excell, Peter

“…In recent years, various methods from the evolutionary computation (EC) field have been applied to electromagnetic (EM…”
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A Hybrid PEEC-SPICE Method for Time-Domain Simulation of Mixed Nonlinear Circuits and Electromagnetic Problems Autor Safavi, Sohrab, Ekman, Jonas

“…The simulation of mixed circuit and electromagnetic (EM) structures is of major interest in most EM applications…”
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The Wind Driven Optimization Technique and its Application in Electromagnetics Autor Bayraktar, Z., Komurcu, M., Bossard, J. A., Werner, D. H.

“… The proposed Wind Driven Optimization (WDO) technique is a population based iterative heuristic global optimization algorithm for multi-dimensional and multi-modal problems with the potential to implement constraints on the search domain…”
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Advances in inverse problems for partial differential equations : AMS Special Session Recent Developments on Analysis and Computation for Inverse Problems for PDEs, March 13-14, 2021, virtual, AMS Special Session Recent Advances in Inverse Problems for PDEs, October 23-23 [i.e. 24], 2021, virtual Autor Nguyen, Dinh-Liem, Nguyen, Loc Hoang, Nguyen, Thi-Phong, AMS Special Session on Recent Developments on Analysis and Computation for Inverse Problems for PDEs, AMS Special Session on Recent Advances in Inverse Problems for PDEs

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A novel heuristic optimization method: charged system search Autor Kaveh, A., Talatahari, S.

“…This paper presents a new optimization algorithm based on some principles from physics and mechanics, which will be called Charged System Search (CSS…”
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Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations Autor Nanbo Jin, Rahmat-Samii, Y.

“…The particle swarm optimization (PSO) is a recently developed evolutionary algorithm (EA…”
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Full-Wave Three-Dimensional Microwave Imaging With a Regularized Gauss-Newton Method- Theory and Experiment Autor De Zaeytijd, J., Franchois, A., Eyraud, C., Geffrin, J.-M.

“…A reconstruction algorithm is detailed for three-dimensional full-vectorial microwave imaging based on Newton-type optimization…”
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A New Value Picking Regularization Strategy-Application to the 3-D Electromagnetic Inverse Scattering Problem Autor De Zaeytijd, J., Franchois, A., Geffrin, J.-M.

“…The nonlinear electromagnetic inverse scattering problem of reconstructing a possibly quasi-piecewise constant inhomogeneous complex permittivity profile is solved by iterative minimization of a pixel…”
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Self-Adaptive Differential Evolution Applied to Real-Valued Antenna and Microwave Design Problems Autor Goudos, S K, Siakavara, K, Samaras, T, Vafiadis, E E, Sahalos, J N

“… Differential evolution (DE) is a vector population based stochastic optimization method. The fact that both algorithms can handle efficiently arbitrary optimization problems has made them popular for solving problems in electromagnetic…”
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Boundary Conditions in Particle Swarm Optimization Revisited Autor Xu, Shenheng, Rahmat-Samii, Yahya

“…In order to enforce particles to search inside the solution space of interest during the optimization procedure, various boundary conditions are currently used in particle swarm optimization (PSO) algorithms…”
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Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics Autor Nanbo Jin, Rahmat-Samii, Y

“…The applications of a hybrid real-binary particle swarm optimization (HPSO) algorithm in engineering electromagnetics are described…”
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Electronic transport driven by collective light-matter coupled states in a quantum device Autor Pisani, Francesco, Gacemi, Djamal, Vasanelli, Angela, Li, Lianhe, Davies, Alexander Giles, Linfield, Edmund, Sirtori, Carlo, Todorov, Yanko

“… are strongly detuned from the bare electronic transitions. Our experiments are corroborated by microscopic quantum theory that solves the problem of calculating…”
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On the accuracy of permittivity profile inversion Autor Oweijane, Frederic, Ahmad, Falih

“…An inversion accuracy improvement technique based on the two‐port network subject taken from the microwave theory is presented…”
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Capacity of the Continuous-Space Electromagnetic Channel Autor Jensen, M.A., Wallace, J.W.

“…Constructing the capacity bound of a multiple-input multiple-output wireless system is often performed by assuming specified antenna configurations and a…”
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Subspace-Based Optimization Method for Reconstruction of 2-D Complex Anisotropic Dielectric Objects Autor Agarwal, Krishna, Li Pan, Xudong Chen

“… optimization can be extended to this problem without increasing the computational complexity of the solution…”
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