Results 51 to 60 of about 40,942 (254)
Composite configuration optimization by metaheuristic algorithm
, 2021 This document present the use of optimization method to obtain the best composite configuration to an specific geometry and load. And are presented some simple analysis with knowing cases. The Tensile Plate optimization found a configuration very close of the knowing configuration with an error of 0,36% at run 1 and 3,41% at run 2.
Simon, I, Gomes, H. M.
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
A study on gender detection using multiple classifiers on voice data
Alexandria Engineering JournalResearchers have frequently used metaheuristic algorithms for various problems due to their success. In data mining studies, feature selection (FS) is an essential preprocessing step for large-scale problems.
Gülnur Yildizdan, Emine Baş
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Cuckoo Search via Levy Flights [PDF]
, 2009 In this paper, we intend to formulate a new metaheuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy ...
Deb, Suash, Yang, Xin-She
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A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
Advanced Intelligent Systems, EarlyView.A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
Next Generation Metaheuristic: Jaguar Algorithm
IEEE Access, 2018 Metaheuristic algorithms are implemented to solve optimization problems and have recently received significant research attention. Metaheuristic algorithms rely primarily on two properties, exploration, and exploitation.
Yao-Hsin Chou +3 more
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Interactive Tool for Customizing Hydrogel Properties in Practical Applications
Advanced Intelligent Systems, EarlyView.This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego +5 more
wiley +1 more source
A generalized evolutionary metaheuristic (GEM) algorithm for engineering optimization
Cogent EngineeringMany optimization problems in engineering and industrial design applications can be formulated as optimization problems with highly nonlinear objectives, subject to multiple complex constraints.
Xin-She Yang
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Elephant Herding Optimization: Variants, Hybrids, and Applications
Mathematics, 2020 Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization algorithm based on the herding behavior of elephants. EHO uses a clan operator to update the distance of the elephants in each clan with respect to the position of a ...
Juan Li +3 more
doaj +1 more source
A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]
, 2019 Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos +4 more
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