KINDI Center for Computing Research: Recent submissions
Now showing items 21-40 of 249
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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 ... -
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 ... -
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Autonomous exploration in expansive and complicated environments poses a significant challenge. When the dimensions of the environment expand, exploration algorithms encounter substantial overhead, which can overpower the ... -
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 ... -
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 ... -
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 ... -
Extended Features Based Random Vector Functional Link Network for Classification Problem
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Random vector functional link (RVFL) network has been successfully employed in diverse domains such as computer vision and machine learning, due to its universal approximation capability. Recently, the shallow RVFL ... -
A Two-Stage Evolutionary Framework for Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and ... -
Localized Constrained-Domination Principle for Constrained Multiobjective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The constrained-domination principle (CDP) is one of the most popular constraint-handling techniques (CHTs), since it is simple, nonparametric, and easily embedded in unconstrained multiobjective evolutionary algorithms ... -
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 ... -
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 ... -
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Recently, semantic communication emerged as one of the enabling technologies for intelligent communications and multimodal information fusion plays an important role therein, where various sensors collect environment ... -
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 ... -
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 ... -
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 ... -
Adaptive Scaling for U-Net in Time Series Classification
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)Convolutional Neural Networks such as U-Net are recently getting popular among researchers in many applications, such as Biomedical Image Segmentation. U-Net is one of the popular deep Convolutional Neural Networks which ... -
Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)Auto-encoder is a special type of artificial neural network (ANN) that is used to learn informative features from data. In the literature, the generalization performance of several machine learning models have been improved ... -
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)In our previous work, the random vector functional link network (RVFL) and the ensemble deep RVFL network (edRVFL) have been proven to be competitive for tabular-dataset classification, and their sparse pre-trained versions ... -
UNIFIED DISCRETE DIFFUSION FOR SIMULTANEOUS VISION-LANGUAGE GENERATION
( International Conference on Learning Representations, ICLR , 2023 , Conference)The recently developed discrete diffusion models perform extraordinarily well in the text-to-image task, showing significant promise for handling the multi-modality signals. In this work, we harness these traits and present ...
