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161
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
منشور في 2024"…In this article, we propose two new optimization algorithms based on the moth-flame optimization algorithm (MFO), which mimics moths’ special navigation methods at night. …"
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162
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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163
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164
Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm
منشور في 2024"…This novel alternative optimisation strategy (CCMPA-GS) compared with 13 established genetic, evolutionary, swarm, and memetic meta-heuristic optimisation algorithms. The comparison is based on optimising two large-scale truss structures consisting of 260-bar and 314-bar configurations. …"
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165
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166
Detecting sleep outside the clinic using wearable heart rate devices
منشور في 2022"…We developed and tested a heart rate-based algorithm that captures inter- and intra-individual sleep differences in free-living conditions and does not require human input. …"
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167
Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques
منشور في 2003"…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …"
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168
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
منشور في 2022"…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"
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169
Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques
منشور في 2003"…We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …"
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170
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
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171
Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems
منشور في 2025"…This study presents a novel Partially Observable Markov Decision Process (POMDP)-based Tip Selection Algorithm (TSA) to optimize fairness in the IOTA Tangle. …"
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172
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
منشور في 2022"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
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173
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
منشور في 2022"…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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174
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175
A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem
منشور في 2022"…For comparative purposes, the same linked-based neighbourhood selection strategy is utilized with other three optimization algorithms, including particle swarm optimization, salp swarm optimization, and wind-driven algorithm. …"
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176
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
منشور في 2020احصل على النص الكامل
doctoralThesis -
177
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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178
Gene Selection for Microarray Data Classification based on Grey Wolf Optimizer Enhanced with TRIZ-inspired Operators
منشور في 2021"…Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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179
Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function
منشور في 2020"…A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. …"
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180
Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function
منشور في 2020"…A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. …"
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article