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Showing 1 to 20 of 23 for “"Nelder-Mead"”.
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Optimization of electron optics in a resonator cavity using Nelder-Mead simplex search for the quantum electron microscope
… optimizing electron trajectory simulations using Nelder-Mead search. It also provides a library of MATLAB wrapper functions and optimization methods to be used with the Integrated Lorentz-2E software.
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On the Effects of Noise on Parameter Identification Optimization Problems
… serves as our seventh test problem. We test the Nelder-Mead Algorithm, a combination of the Nelder-Mead Algorithm and Simulated Annealing, and the Shuffled Complex Evolution Method on these test problems. Comparison of optimization results for these problems reveals the effects of noise on …
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The impact of Rayleigh fading channel effects on the RF-DNA fingerprinting process
… fingerprinting is extended by developing a Nelder-Mead-based algorithm that estimates the coefficients of an indoor Rayleigh fading channel. The performance of the Nelder-Mead estimator is compared to the Least Square estimator and is assessed with degrading signal-to-noise ratio. The …
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Fitting Interatomic Potentials to Reproduce Phase Transitions
… melting curve using my own implementation of the Nelder-Mead algorithm. The Ti potential is modified to predict a triple point which is in qualitative agreement with experimental predictions. To calculate phase transitions, I use the nested sampling algorithm which was already established in the …
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Calibrating a Latent Order Book Model to Market Data
… as well as a Black-box approach using the Nelder-Mead algorithm. We show that in the diffusion limit, the master equation becomes the LOB reaction-diffusion PDE and certain free-parameters are recoverable with the iterative calibration techniques.
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Interactive Optimization Programs for Initial Propeller Design
… non- linear programming. The process uses the Nelder-Mead simplex algorithm. The Wageningen B-series optimal propeller selection is presented along with the combined annular momentum theory and blade element theory optimization. Both techniques require preliminary hull and engine design …
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An inverse problem framework for reconstruction of phonon properties using solutions of the Boltzmann transport equation
… optimization method, referred to as the Nelder-Mead algorithm, with a graduated (multi-stage) optimization framework.
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Agile load transportation systems using aerial robots
… investigated method we use is based on the Nelder-Mead algorithm which is an optimization technique used for nonlinear unconstrained optimization problems. This method is model free and it can be used for offline or online generation of the swing-free trajectories for the suspended load. …
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Examination timetabling at the University of Cape Town: a tabu search approach to automation
… examination timetabling process. Tabu search and Nelder-Mead methodologies were tested on the UCT November 2014 examination timetabling data with tabu search proving to be more effective, capable of producing feasible solutions from randomised initial solutions. To make this research more …
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High Dimensional Non-Linear Optimization of Molecular Models
… applications of the ParOpt software, and the Nelder-Mead algorithm implemented within it, are presented: a coarse-grained (CG) water--ion model, a model for the determination of lipid bilayer structure via the interpretation of scattering data, and a reactive molecular dynamics (ReaxFF) model …
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Functionally Graded Fiber-Reinforced Cementitious Composites---Manufacturing and Extraction of Cohesive Fracture Properties Using Finite Elements and Digital Image Correlation
… without assumption of the model shape. The Nelder-Mead optimization method is used to solve the ill-posed nonlinear inverse problem. Barrier and regularization terms are incorporated in the objective function for the inverse problem to assist optimization. Numerical tests show the robustness …
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Fatigue Simulation of Human Cortical Bone using Non-Homogeneous Finite Element Models to Examine the Importance of Sizing Factors on Damage Laws
… on the non-homogeneous models. Using the Nelder-Mead optimization routine, I optimized the sizing factors for a group of 5 models. When these optimized sizing factors were applied to other models they improved the accuracy of the simulations but not as much as for the original models, but …
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Terahertz time domain methods for material characterization of layered dielectric media
… effect. The optimization method utilized was the Nelder-Mead Simplex method while the root finding method was the Secant method. The inverse problem solution setups and special considerations for each of the characterization tools are presented. The operation validation and material …
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Efficient Modeling, Optimization, and LLM-Assisted Decision Support for Geothermal Well Arrays
… strategies, differential evolution optimization, Nelder-Mead, and simulated annealing on various performance characteristics such as convergence speed and highest production capacity attained.
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MODEL-BASED 3-D VISION
… recognition process, a modified version of the Nelder-Mead simplex algorithm is utilized to minimize the measure of discrimination called the dissemblance index. Results have indicated the success of this method, with the average success rate of about 95% (when quaternions of up to the third …
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Técnicas de otimização da produção para reservatórios de petróleo: abordagens sem uso de derivadas para alocação dinâmica das vazões de produção e injeção
… escoamento. Os algoritmos utilizados foram o de Nelder-Mead (Simplex), o de Busca Direta em Padrões (Pattern Search), o Derivative Free Optimization de Conn et al e o Algoritmo Genético. Os estudos foram aplicados a dois casos de características distintas. O primeiro caso apresenta …
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An Adaptive Computer Vision Technique for Estimating the Biomass and Density of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery
… with an optimization algorithm (a modified Nelder-Mead simplex algorithm or a genetic algorithm). The training data consist of small images in which density and biomass are known. A first test of this technique was performed using 25 circular plots (radius = 15 m) placed in young pine …
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Inverse modelling and inverse simulation for system engineering and control applications
… extent. The second one, based on a constrained Nelder-Mead search-based optimisation algorithm, is completely derivative-free algorithm for inverse simulation. This approach eliminates problems which make traditional inverse simulation techniques difficult to apply in control applications …
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Developing Computationally Efficient Optimization Framework for Online Routing of UAV-UGV Systems
… framework known as A-Teams, incorporating Nelder-Mead and Genetic Algorithms with complementary features for outer-level UGV optimization. The framework was tested across various instances to evaluate its performance compared to using only Genetic Algorithm at the outer level. Each of these …
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Investigation of formation and applications of high-speed liquid projectiles
… numerical model was integrated into the Nelder-Mead simplex search optimization procedure provided by Matlab and used for evaluation of an optimal parameter of a launcher. Particularly, the possibility of the improvement of the nozzle design was shown. Feasibility of material processing …
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