scholarly journals Geometric Generalization of the Nelder-Mead Algorithm

2010 ◽  
pp. 190-201 ◽  
Author(s):  
Alberto Moraglio ◽  
Colin G. Johnson
Keyword(s):  
Nelder Mead Algorithm

Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm

2016 ◽  
Vol 58 (1) ◽  
pp. 75-78 ◽  
Author(s):  
Ali Rıza Yıldız ◽  
Enes Kurtuluş ◽  
Emre Demirci ◽  
Betul Sultan Yıldız ◽  
Selçuk Karagöz
Keyword(s):  
Thin Wall ◽  
Wall Structures ◽  
Gravitational Search ◽  
Nelder Mead Algorithm

scholarly journals Comparison of Flux-Switching and Interior Permanent Magnet Synchronous Generators for Direct-Driven Wind Applications Based on Nelder–Mead Optimal Designing

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 732
Author(s):  
Vladimir Prakht ◽  
Vladimir Dmitrievskii ◽  
Vadim Kazakbaev ◽  
Ekaterina Andriushchenko
Keyword(s):  
Wind Turbine ◽  
Permanent Magnet ◽  
Frequency Converter ◽  
Torque Ripple ◽  
Computational Time ◽  
Synchronous Generators ◽  
Advantages And Disadvantages ◽  
Permanent Magnet Synchronous Generators ◽  
Interior Permanent Magnet ◽  
Nelder Mead Algorithm

The permanent magnet flux-switching machine (PMFSM) is one of the most promising machines with magnets inserted into the stator. To determine in which applications the use of PMFSM is promising, it is essential to compare the PMFSM with machines of other types. This study provides a theoretical comparison of the PMFSM with a conventional interior permanent magnet synchronous machine (IPMSM) in the gearless generator of a low-power wind turbine (332 rpm, 51.4 Nm). To provide a fair comparison, both machines are optimized using the Nelder–Mead algorithm. The minimized optimization objectives are the required power of frequency converter, cost of active materials, torque ripple and losses of a generator averaged over the working profile of the wind turbine. In order to reduce the computational time, the substituting profile method is applied. Based on the results of the calculations, the advantages and disadvantages of the considered machines were revealed: the IPMSM has significantly lower losses and higher efficiency than the PMFSM, and the PMFSM requires much less rare-earth magnets and copper and is, therefore, cheaper in mass production.

scholarly journals Исследование изменения лигандного состава хелата Eu-=SUP=-3+-=/SUP=- методами двухступенчатого лазерного возбуждения люминесценции и компьютерного моделирования кинетики

2019 ◽  
Vol 126 (2) ◽  
pp. 134
Author(s):  
И.В. Станишевский ◽  
Т.А. Павич ◽  
С.М. Арабей
Keyword(s):  
Dynamic Model ◽  
Rate Constants ◽  
Structural Rearrangement ◽  
Triphenylphosphine Oxide ◽  
Iterative Approximation ◽  
Reversible Processes ◽  
Experimental Kinetics ◽  
Nelder Mead Algorithm ◽  
Excitation Method ◽  
The Eu

AbstractThe europium(III)–tris(dibenzoylmethane)–triphenylphosphine oxide complex was studied in the polycrystalline state and in toluene at 298 K using the luminescence excitation method with two-stage rectangular pulses with decreasing intensity of stages. Experimental nonmonotonic kinetic curves were numerically simulated within the framework of a four-level dynamic model describing reversible processes in the complex, associated with its structural rearrangement. The maximum correspondence between the experimental and simulated curves was obtained using an iterative approximation performed using the Nelder–Mead algorithm. Based on the obtained numerical values of the rate constants and parameters of the model, experimental kinetics were interpreted, and it was concluded that they are a consequence of the processes associated with changes in the ligand composition of the Eu^3+ chelate.

scholarly journals AMPLIFIED NELDER-MEAD ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM

2018 ◽  
Vol 6 (11) ◽  
pp. 299-306
Author(s):  
K. Lenin
Keyword(s):  
Simulated Annealing ◽  
Power Loss ◽  
Reactive Power ◽  
Superior Performance ◽  
Real Power ◽  
Last Stage ◽  
Simulation Results ◽  
Power Problem ◽  
Nelder Mead Algorithm ◽  
Prime Solution

This paper presents Hybridization of Simulated Annealing with Nelder-Mead algorithm (SN) is proposed to solve optimal reactive power problem. The proposed Hybridized - Simulated Annealing, Nelder-Mead algorithm starts with a prime solution, which is produced arbitrarily and then the solution is disturbed into partitions. The vicinity zone is created, arbitrary numbers of partitions are selected and variables modernizing procedure is started in order to create a trail of neighbour solutions. This procedure helps the SN algorithm to explore the region around an existing iterate solution. The Nelder- Mead algorithm is used in the last stage in order to progress the most excellent solution found so far and hasten the convergence in the closing stage. The proposed Hybridization of Simulated Annealing with Nelder-Mead algorithm (SN) has been tested in standard IEEE 57,118 bus systems and simulation results show the superior performance of the proposed SN algorithm in reducing the real power loss and voltage profiles are within the limits.

scholarly journals A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe

2021 ◽  
Author(s):  
Oussama Choura ◽  
Caterina Capponi ◽  
Silvia Meniconi ◽  
Sami Elaoud ◽  
Bruno Brunone
Keyword(s):  
Transient Analysis ◽  
Experimental Tests ◽  
Leak Detection ◽  
Calibration Procedure ◽  
Second Phase ◽  
Viscoelastic Parameters ◽  
The Difference ◽  
Single Pipe ◽  
The University ◽  
Nelder Mead Algorithm

Abstract In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact and leaky high-density polyethylene (HDPE) single pipe installed at the Water Engineering Laboratory (WEL) of the University of Perugia, Italy. Transients have been generated by the fast and complete closure of a valve placed at the downstream end section of the pipe. In the first phase of the calibration procedure, the proposed algorithm has been used to estimate both the viscoelastic parameters of a generalized Kelvin–Voigt model and the unsteady-state friction coefficient, by minimizing the difference between the numerical and experimental results. In the second phase of the procedure, the calibrated model allowed the evaluation of leak size and location with an acceptable accuracy. Precisely, in terms of leak location the relative error was smaller than 5%.

scholarly journals TUNING PID CONTROLLERS USING HYBRID GENETIC AND NELDER-MEAD ALGORITHM

2010 ◽  
Vol 38 (4) ◽  
pp. 979-987
Author(s):  
A. A. Lasheen ◽  
A. M. El-Garhy ◽  
E. M. Saad ◽  
S.M. Eid
Keyword(s):  
Pid Controllers ◽  
Nelder Mead Algorithm
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