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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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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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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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Bald Eagle Search Optimization Algorithm Combined with Spherical Random Shrinkage Mechanism and Its Application
Over the last two decades, stochastic optimization algorithms have proved to be a very promising approach to solving a variety of complex...
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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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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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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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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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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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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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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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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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A Multi-objective Optimization Method Based on Nelder–Mead Simplex Search Method
In this paper, a method based on Nelder and Mead’s simplex search method is developed for solving multi-objective optimization problems. Unlike other...
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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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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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Optimisation-based strategies to identification of material parameters of hygro-thermo-mechanical problems
Applications involving hygro-thermo-mechanical models are found in engineering fields as diverse as electronic packaging, concrete structures,...
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Inverse Kinematics Solution Based on Redundancy Modeling and Desired Behaviors Optimization for Dual Mobile Manipulators
Dual mobile manipulators are increasingly used in cooperative operation tasks, and their appropriate joint configurations are the premise to ensure...
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Study of Power Optimization Algorithms for Secure Communication with Untrusted AF Relays
This paper compares various power optimization algorithms for secure transmission in an amplify-and-forward (AF) network with multiple untrusted...
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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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Hybrid intelligent predictive maintenance model for multiclass fault classification
Data recorded from monitoring the health condition of industrial equipment are often high-dimensional, nonlinear, nonstationary and characterised by...
