Network & Distributed Systems: Recent submissions
Now showing items 1-20 of 142
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Safety Score as an Evaluation Metric for Machine Learning Models of Security Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning studies have traditionally used accuracy, F1 score, etc. to measure the goodness of models. We show that these conventional metrics do not necessarily represent risks in security applications and may result ... -
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)In multimodal multiobjective optimization problems (MMOPs), there are several Pareto optimal solutions corresponding to the identical objective vector. This paper proposes a new differential evolution algorithm to solve ... -
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications ... -
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)This work addresses multiobjective dynamic surgery scheduling problems with considering uncertain setup time and processing time. When dealing with them, researchers have to consider rescheduling due to the arrivals of ... -
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture. However, there are relatively few studies on the agricultural robot ... -
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 ... -
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Earth electromagnetic exploration satellites are widely used in many fields due to their wide detection range and high detection sensitivity. The complex environment and the proliferating number of satellites make management ... -
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In this article, a new feature selection (FS) algorithm, called simple, fast, and efficient (SFE), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two ... -
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Unmanned aerial vehicles (UAVs) have emerged as promising platforms for fast, energy-efficient, and cost-effective package delivery. Path planning in 3-D urban environments is critical to drone delivery. The paper proposes ... -
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 ... -
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)This paper addresses urban traffic light scheduling problems (UTLSP) with eight phases. The objective is to minimize the total vehicle delay time by assigning traffic phases and phase-timing optimally. A novel hybrid ... -
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ... -
Versatile LiDAR-Inertial Odometry with SE(2) Constraints for Ground Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)LiDAR SLAM has become one of the major localization systems for ground vehicles since LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage one specific constraint to improve the performance, e.g., ... -
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Class-incremental learning (CIL) on multivariate time series (MTS) is an important yet understudied problem. Based on practical privacy-sensitive circumstances, we propose a novel distillation-based strategy using a ... -
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 ... -
Ensemble Deep Random Vector Functional Link Neural Network for Regression
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-The-Art results on different datasets. Our present work first fills the gap ... -
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age ... -
Self-Distillation for Randomized Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Knowledge distillation (KD) is a conventional method in the field of deep learning that enables the transfer of dark knowledge from a teacher model to a student model, consequently improving the performance of the student ... -
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 ... -
Dynamic Multi-Objective Optimization Algorithm Guided by Recurrent Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)In recent years, prediction-based algorithms have attracted much attention for solving dynamic multi-objective optimization problems in the evolutionary computing community. However, this class of algorithms still has ...
