Results 41 to 50 of about 4,898 (223)
Brazilian Journal of Radiation Sciences, 2019 This paper brings to light optimized proposal for a circular particle accelerator for proton beam therapy purposes (named as ACPT). The methodology applied is based on computational metaheuristics based on genetic algorithms (GA) were used to obtain ...
Gustavo Lobato Campos +1 more
doaj +1 more source
Metaheuristics in applied geophysics
Pamukkale University Journal of Engineering Sciences, 2016 In this study, four metaheuristic algorithms including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) and simulated annealing (SA) were used for one-, two-and threedimensional (1D, 2D and 3D) geophysical inverse problems.
BALKAYA, ÇAĞLAYAN +3 more
openaire +5 more sources
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Energy Reports, 2022 The management of renewable-powered smart grids deals with nonlinear optimization problems featuring a variety of linear or nonlinear constraints, discrete or continuous optimization variables, involving high dimensionality of the solution space, and ...
Cristina Bianca Pop +6 more
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Special issue on “Metaheuristics”
International Transactions in Operational Research, 2016 Peer ...
Christian Blum 0001 +3 more
openaire +2 more sources
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
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
Advanced Intelligent Systems, EarlyView.An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Mathematics, 2021 Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been ...
Md Ashikur Rahman +5 more
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Design Optimization of Soft Fabric Pneumatic Actuators
Advanced Intelligent Systems, EarlyView.This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou +2 more
wiley +1 more source
An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling
Applied Artificial Intelligence, 2021 Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem.
Adil Yousif
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