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The Mechanical Characteristics Range Spread Determined by the Nelder–Mead Method for a Production Elastic Element Made of Polymer Composite Materials
AbstractBased on the statistical analysis of test results of production elastic multilayer beams, the variation range was determined, the expectation...
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Optimal Design of PMa-SynRM for Electric Vehicles Using a Subregion-Assisted Hybrid Algorithm with Adaptive Nelder–Mead Simplex
The optimal design of a motor can be characterized as a multi-modal optimization problem because numerous performance factors must be considered....
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A novel balanced Aquila optimizer using random learning and Nelder–Mead simplex search mechanisms for air–fuel ratio system control
An air–fuel ratio system has a crucial role in hel** protect the environment from the harmful emissions of the lean combustion spark-ignition...
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Incorporating Nelder-Mead Simplex as an Accelerating Operator to Improve the Performance of Metaheuristics in Nonlinear System Identification
This chapter explores the use of Nelder-Mead simplex (NMS) as an accelerating operator to improve the performance of metaheuristic algorithms, which...
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Method for characterization of soil electrical resistivity based on Wenner measurements by means of Nelder–Mead algorithm and FEM calculations
Soil resistivity is the key parameter influencing resistance and potential distribution on the soil surface for grounding systems and electrodes for...
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Determination of single-phase transformer saturation characteristic by using Nelder–Mead optimization method
Correctly modelling the nonlinear saturation characteristics of the transformer iron core is of great importance in steady-state calculations...
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A hybrid Harris hawks-Nelder-Mead optimization for practical nonlinear ordinary differential equations
Differential equations can often be seen in many fields of scientific research and engineering. Typically, finding the analytical (exact) solution is...
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Portfolio Optimization Using Genetic Algorithms with Nelder–Mead Algorithm
Portfolio selection has a literal sense that means that the selection of an optimal portfolio which results to an asset that has minimum risk and...
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Sub-global equilibrium method for identification of elastic parameters based on digital image correlation results
In this work, a new, simple method is presented, which enables identification of material properties of solids basing on the digital image...
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k-coverage m-connected node placement using shuffled frog lea**: Nelder–Mead algorithm in WSN
In wireless sensor network (WSN) target-based coverage plays a vital role in forwarding the information from source to destination via multiple...
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Comparing optimization algorithms for parameter identification of sigmoid model for MR damper
This paper proposes a new hybrid optimization technique that merges a differential evolution algorithm with a local strategy using the...
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The Positive Exertion of “Fuzzy Control” in Art Appreciation Class
In order to improve the teaching effect of art appreciation class and promote the development of students’ creative thinking, based on ASIFT (Affine...
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Hybrid Particle Swarm Optimization with Sine Cosine Algorithm and Nelder–Mead Simplex for Solving Engineering Design Problems
This paper introduces a novel hybrid evolutionary algorithm that combines particle swarm optimization (PSO) algorithm with sine–cosine algorithm...
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Field Displacement-Based Inverse Method for Elastic and Viscoelastic Constitutive Properties
BackgroundMechanical characterization of materials that solely relies on global responses may overlook important local behavior that significantly...
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A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems
This paper introduces a new hybrid optimization algorithm (HWOANM) based on the Nelder–Mead local search algorithm (NM) and whale optimization...
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Multi-objective Design of Blending Fuel by Intelligent Optimization Algorithms
Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently demanded. Herein, a complete workflow...
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A Hybrid EDA/Nelder-Mead for Concurrent Robot Optimization
We introduce an optimization algorithm which combines an Estimation of Distribution Algorithm (EDA) and the Nelder-Mead method for global and local...
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Friction modelling and the use of a physics-informed neural network for estimating frictional torque characteristics
This paper presents an exploration of friction modeling encompassing theoretical and practical aspects, utilizing a planar or 2D contact system....
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Path Planning and Optimization of a UAV-Based Relay Communication System with Co-channel Interference
Unmanned aerial vehicle (UAV) based relay communication is an important technical scheme for long-distance wireless communications. However, the...
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Grey wolf optimizer-assisted R-method-based weighted minimization for automatic generation control in two-area interconnected power system
In this article, design and performance analysis of grey wolf optimization algorithm (GWO)-assisted R-method-based proportional–integral–derivative...
