Browsing Network & Distributed Systems by Type "Article"
Now showing items 1-20 of 103
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A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization
( Elsevier , 2023 , Article)In recent years, several population-based evolutionary and swarm algorithms have been developed and used in the literature. This work introduces an improved Cultural Algorithm with a modified selection function and a dynamic ... -
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The flowshop sequence-dependent group scheduling problem (FSDGSP) with the production efficiency measures has been extensively studied due to its wide industrial applications. However, energy efficiency indicators are often ... -
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
( Elsevier , 2023 , Article)A distributed permutation flowshop scheduling problem (DPFSP) with peak power consumption is addressed in this work. The instantaneous energy consumption of each factory cannot exceed a threshold. First, a mathematical ... -
A spectral-ensemble deep random vector functional link network for passive brain-computer interface
( Elsevier , 2023 , Article)Randomized neural networks (RNNs) have shown outstanding performance in many different fields. The superiority of having fewer training parameters and closed-form solutions makes them popular in small datasets analysis. ... -
Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm
( Elsevier , 2024 , Article)The determination of photovoltaic (PV) model parameters has essential theoretical and practical significance for the performance evaluation, power monitoring, and power generation efficiency calculation of PV systems. In ... -
Active Computing Toward 5G Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The Internet of Things (IoT) contains enormous computing resources. How to fully and efficiently use computing power is a very important research issue. This article proposes an active computing (AC) concept toward IoT. ... -
AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
( Elsevier , 2024 , Article)The widespread usage of Android-powered devices in the Internet of Things (IoT) makes them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks, such as smart watches, smart thermometers, ... -
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification
( Science China Press , 2024 , Article)Feature selection in classification can be considered a multiobjective problem with the objectives of increasing classification accuracy and decreasing the size of the selected feature subset. Dominance-based and ... -
Automatic variable reduction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ... -
Benchmark problems for large-scale constrained multi-objective optimization with baseline results
( Elsevier , 2024 , Article)The interests in evolutionary constrained multiobjective optimization are rapidly increasing during the past two decades. However, most related studies are limited to small-scale problems, despite the fact that many practical ... -
Boosted multilayer feedforward neural network with multiple output layers
( Elsevier , 2024 , Article)This research introduces the Boosted Ensemble deep Multi-Layer Layer Perceptron (EdMLP) architecture with multiple output layers, a novel enhancement for the traditional Multi-Layer Perceptron (MLP). By adopting a layer-wise ... -
Certrust: An SDN-Based Framework for the Trust of Certificates against Crossfire Attacks in IoT Scenarios
( Tech Science Press , 2023 , Article)The low-intensity attack flows used by Crossfire attacks are hard to distinguish from legitimate flows. Traditional methods to identify the malicious flows in Crossfire attacks are rerouting, which is based on statistics. ... -
CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems
( Elsevier , 2015 , Article)Traditional High-Performance Computing (HPC) based big-data applications are usually constrained by having to move large amount of data to compute facilities for real-time processing purpose. Modern HPC systems, represented ... -
Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for ... -
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions but also reduce the size of optimal feasible regions, thus they propose ... -
Context-aware RAON middleware for opportunistic network
( Elsevier B.V. , 2017 , Article)Application development and deployment on Mobile Ad Hoc Networks (MANET) is a major challenge in the widespread use of MANET. The increasing D2D communication in 5G networks has renewed interest in an effective middleware ... -
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the following decades. Identifying AD at the intermediate stage became challenging, with mild cognitive impairment (MCI) utilizing ... -
Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
( Elsevier Ltd , 2022 , Article)With the increase in sophistication and connectedness of the healthcare networks, their attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients’ health and life by stealing or altering ... -
Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing resources to numerous incoming requests ... -
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
( Elsevier Inc. , 2023 , Article)Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ...
