Applied Soft Computing

Papers
(The median citation count of Applied Soft Computing is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
A predictive intelligence approach for low-light enhancement317
Editorial Board201
Variable neighborhood search for weighted total domination problem and its application in social network information spreading189
Corrigendum to “Gray Wolf Optimizer for hyperspectral band selection” [Appl. Soft Comput. 40 (2016) 178–186]171
Image steganography based on style transfer and quaternion exponent moments159
Error feedback method (EFM) based dimension synthesis optimisation for four-bar linkage mechanism146
Late acceptance hill climbing based algorithm for Unmanned Aerial Vehicles (UAV) path planning problem142
Graph-driven feature selection via granular-rectangular neighborhood rough sets for interval-valued data sets140
Address wind farm layout problems by an adaptive Moth-flame Optimization Algorithm136
Cascaded panoptic segmentation method for high resolution remote sensing image134
A memetic evolution system with statistical variable classification for large-scale many-objective optimization133
Effects of diagram plane on neural network based modulation recognition129
Sampling-based test scenarios searching method for autonomous system robustness evaluation127
Point cloud registration based on the dark forest algorithm and its application in coal industry126
Sample-analysis based adversarial attack with saliency map125
Temporal relation transformer for robust visual tracking with dual-memory learning123
A new efficient two-stage method for damage localization and quantification in shell structures123
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning122
Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training122
A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems121
An entropy-based density peak clustering for numerical gene expression datasets119
Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT116
Optimizing workload distribution in Fog-Cloud ecosystem: A JAYA based meta-heuristic for energy-efficient applications116
Collaborative semantic representation network for metaphor detection113
A social participatory allocation network method with partial relations of alternatives and its application in sustainable food supply chain selection113
An optimal control policy in fighting COVID-19 and infectious diseases110
A solution-driven multilevel approach for graph coloring110
Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic108
Simultaneous feature and instance selection in big noisy data using memetic variable neighborhood search107
Multi-agent reinforcement learning system framework based on topological networks in Fourier space104
Quality-aware fuzzy min–max neural networks for dynamic brain network analysis and its application to schizophrenia identification103
Integrated model and automatically designed solver for power system restoration102
An approach to investigate fairness using Dominance-based Rough Sets Analysis—How fair were the COVID-19 restriction decisions in the UK?101
Multilayer time delay reservoir with double feedback loops for time series forecasting task101
A covariance-based Moth–flame optimization algorithm with Cauchy mutation for solving numerical optimization problems99
QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil99
Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget98
JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data96
The application of gradient evolution algorithm to an intuitionistic fuzzy neural network for forecasting medical cost of acute hepatitis treatment in Taiwan96
Arithmetic optimization algorithm with cosine composite chaotic mapping in polar coordinate system for economic load dispatching problems in power systems96
Deep neural aggregation for recommending items to group of users95
Quaternary converter based balanced graph contrastive learning for recommendation95
A Bayesian graph structure inference neural network based on adaptive connection sampling94
An interval type-2 fuzzy ORESTE method for waste-to-energy plant site selection: A case study in China94
Tensor idempotent representation with auto-weighted exponential tensor nuclear norm minimization for multi-view clustering94
A lightweight multi-sensory field-based dual-feature fusion residual network for bird song recognition94
A tabu search based approach for the Heterogeneous Fleet Vehicle Routing Problem with three-dimensional loading constraints93
A co-evolutionary genetic algorithm with knowledge transfer for multi-objective capacitated vehicle routing problems93
An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum and engineering design problems90
Chinese calligraphy character generation with component-level style learning and structure-aware guidance89
Parallel graph neural architecture search optimization with incomplete features89
Neural collaborative filtering with multicriteria evaluation data89
Learning fuzzy decision trees for predicting outcomes of legal cases relating to intellectual property rights89
Meta-heuristic as manager in federated learning approaches for image processing purposes88
An interpretable convolutional neural network for nuclear power plant abnormal events88
Channel pruning guided by spatial and channel attention for DNNs in intelligent edge computing88
Edge computing-based person detection system for top view surveillance: Using CenterNet with transfer learning87
Efficient traffic-based IoT device identification using a feature selection approach with Lévy flight-based sine chaotic sub-swarm binary honey badger algorithm87
AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization86
Fast calculation for approximations in Dominance-based Rough Set Approach using Dual Information Granule86
Sentiment analysis on a low-resource language dataset using multimodal representation learning and cross-lingual transfer learning86
Metaverse and microorganism digital twins: A deep transfer learning approach86
Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach85
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities84
An integrated probabilistic bipolar fermatean hesitant fuzzy transportation configuration for sustainable management of floral waste with risk assessment84
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems84
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction84
An ensemble multi-swarm teaching–learning-based optimization algorithm for function optimization and image segmentation83
Evolutionary optimization of thermo-physical properties of MWCNT-Fe83
An efficient hyper-parameter optimization method for supervised learning83
Automatic frequency-based feature selection using discrete weighted evolution strategy83
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment82
Niche-based cooperative co-evolutionary ensemble neural network for classification82
Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv281
Cooperative coevolutionary algorithm with resource allocation strategies to minimize unnecessary computations81
An interval neural network-based Caputo fractional-order extreme learning machine applied to classification81
An integrated design concept evaluation method based on best–worst entropy and generalized TODIM considering multiple factors of uncertainty81
Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer’s Disease diagnosis via MRI images80
Prediction of strip section shape for hot-rolled based on mechanism fusion data model79
Enhancing vehicle detection in intelligent transportation systems via autonomous UAV platform and YOLOv8 integration79
TSFIS-GWO: Metaheuristic-driven takagi-sugeno fuzzy system for adaptive real-time routing in WBANs79
Multiscale attention feature deep fusion network for iris region localization and segmentation from dual-spectral iris image79
A dimensionless model and ant colony optimization fusion temperature prediction in tunnel fires78
An ensemble deep learning model for human activity analysis using wearable sensory data78
Spherical fuzzy sets based integrated DEMATEL, ANP, VIKOR approach and its application for renewable energy selection in Turkey78
Diffusion-based dynamic super-dense candidate boxes with random center points for 3D object detection78
Residual LSTM based short-term load forecasting76
Broad fractional-order echo state network with slime mould algorithm for multivariate time series prediction76
Siamese learning based on graph differential equation for Next-POI recommendation76
Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach75
Fuzzy multi-perspective conformance checking for business processes75
RTAD-HIS: Regulated transformer architecture based anomaly detection framework towards security in healthcare IoT systems74
Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic74
Time series prediction for cryptocurrency markets with transformer and parallel convolutional neural networks74
Feature library-assisted surrogate model for evolutionary wrapper-based feature selection and classification73
Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting73
Evolutionary computation-based reliability quantification and its application in big data analysis on semiconductor manufacturing73
An effective method based on simulated annealing for automatic generation control of power systems72
Adaptive sliding mode control with hysteresis compensation-based neuroevolution for motion tracking of piezoelectric actuator72
Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer71
Solving capacitated vehicle routing problem using cooperative firefly algorithm71
A computationally efficient approximation calculation method in dominance-based rough set approach70
Dynamic multi-objective evolutionary algorithm with objective space prediction strategy70
Recurrent ensemble random vector functional link neural network for financial time series forecasting70
Unsupervised feature selection using chronological fitting with Shapley Additive explanation (SHAP) for industrial time-series anomaly detection70
Assessing sustainability of supply chains by fuzzy Malmquist network data envelopment analysis: Incorporating double frontier and common set of weights70
Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework69
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship69
Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information69
Detection of forest fire using deep convolutional neural networks with transfer learning approach69
Multi-task prompt adapter for vision-language model69
Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion68
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets68
Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm68
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images68
Granular computing-based time series anomaly pattern detection with semantic interpretation68
A three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases68
Investigations of color image segmentation based on connectivity measure, shape priority and normalized fuzzy graph cut68
Leaf disease detection using machine learning and deep learning: Review and challenges67
Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform67
A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems67
Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest67
Editorial Board67
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans67
The choice of scaling technique matters for classification performance67
Editorial Board65
An embedded Hamiltonian dynamic evolutionary neural network model for high-dimensional data recognition65
Object pose tracking using multimodal knowledge from RGB images and quaternion-based rotation contexts65
Knowledge transfer for labeling unknown fuzzy sets using Grammar-Guided Genetic Algorithms64
Multi-objective firefly algorithm with adaptive region division64
An evolutionary knowledge transfer framework for solving workgroup reconfiguration problem in aircraft final assembly64
An artificial bee colony algorithm for scheduling call centres with weekend-off fairness64
Ensemble clustering with low-rank optimal Laplacian matrix learning64
Augmented support vector regression with an autoregressive process via an iterative procedure63
Distribution-based imaging for multiple sclerosis lesion segmentation using specialized fuzzy 2-means powered by Nakagami transmutations63
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion63
An efficient and lightweight off-policy actor–critic reinforcement learning framework63
Block-segmentation vectors for arousal prediction using semi-supervised learning63
Few-shot intent detection with mutual information and contrastive learning63
Cross-platform dynamic goods recommendation system based on reinforcement learning and social networks63
Soft cosine and extended cosine adaptation for pre-trained language model semantic vector analysis62
Benchmarking surrogate-based optimisation algorithms on expensive black-box functions62
Dynamic task offloading in edge computing for computer access point selection based on adaptive deep reinforcement learning with meta-heuristic optimization62
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning62
Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization62
Evaluating infant development through a novel hybrid intuitionistic fuzzy classification system62
Learning automata based particle swarm optimization for solving class imbalance problem62
Design of fractional comprehensive learning PSO strategy for optimal power flow problems62
Discovering ensembles of small language models out of scarcely labelled data for fake news detection61
Robust graph contrastive learning with multi-hop views for node classification61
A transformer-based deep learning approach for recognition of forgery methods in spoofing speech attribution60
Harnessing the power of transformers and data fusion in smart irrigation60
Neighbor self-embedding graph model for clustering ensemble60
Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN60
An efficient nonlinear interval uncertain optimization method using Legendre polynomial chaos expansion60
Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs60
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games60
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity60
Dynamical decomposition and selection based evolutionary algorithm for many-objective optimization59
Heterogeneous attention based transformer for sign language translation59
A soft set theoretic approach to network complexity and a case study for Turkish Twitter users59
Different transfer learning approaches for insect pest classification in cotton58
NLBBODE optimizer for accurate and fast modeling of photovoltaic module/string generator and its application to solve real-world constrained optimization problems58
Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies58
A methodology for using players’ chat content for dynamic difficulty adjustment in metaverse multiplayer games58
TLTD: Transfer Learning for Tabular Data58
Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion57
Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking57
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events57
Neural architecture search via similarity adaptive guidance57
Exploiting variability in the design of genetic algorithms to generate telerehabilitation activities56
Extended rule-based opinion target extraction with a novel text pre-processing method and ensemble learning56
Directional optimization of elevator scheduling algorithms in complex traffic patterns56
A deep residual neural network model for synchronous motor fault diagnostics56
The selection of reform models for provincial rural credit cooperatives unions in China using an extended CPT-TODIM method based on novel type-2 fuzzy numbers56
Continual compression model for online continual learning56
Shapelet selection for time series classification55
Edge preserving range image smoothing using hybrid locally kernel-based weighted least square55
A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control55
Improved Harris hawks optimization algorithm based on random unscented sigma point mutation strategy54
Multi-objective evolutionary optimization of unsupervised latent variables of turning process54
A binary tree seed algorithm with selection-based local search mechanism for huge-sized optimization problems54
Corrigendum to “A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment” [Applied Soft Computing 143(2023) 110297]54
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning54
Robust approximation of the conditional mean for applications of Machine Learning53
Using GAN-generated market simulations to guide genetic algorithms in index tracking optimization53
A light spatial-frequency network for robust iris segmentation and localization53
Optimizing anomaly detection in 3D MRI scans: The role of ConvLSTM in medical image analysis53
A simple and flexible bootstrap-based framework to quantify epistemic uncertainty of ground motion models by light gradient boosting machine53
RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis53
Evolving kernel-based fuzzy system with nonlinear consequences53
Editorial Board53
Multi-granularity relabeled under-sampling algorithm for imbalanced data53
A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell52
A Chinese power text classification algorithm based on deep active learning52
Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection52
Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach52
On the behavior of parallel island models52
A bearing prognosis framework based on deep wavelet extreme learning machine and particle filtering52
DQN-enabled content caching and quantum ant colony-based computation offloading in MEC52
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes52
1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan52
Harnessing collaborative learning automata to guide multi-objective optimization based inverse analysis for structural damage identification52
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem51
Railway network delay evolution: A heterogeneous graph neural network approach51
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection51
Failure mode and effects analysis method based on Fermatean fuzzy weighted Muirhead mean operator51
Differential evolution method integrated with a fuzzy decision-making mechanism and Virtual Mutant agent: Theory and application51
Explainability analysis: An in-depth comparison between Fuzzy Cognitive Maps and LAMDA51
Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy51
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition50
Knowledge-driven ant colony optimization algorithm for vehicle routing problem in instant delivery peak period50
Emission reduction investment for green products of a manufacturing system via optimal control theory and artificial hummingbird algorithm50
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer50
A digital-twin-based adaptive multi-objective Harris Hawks Optimizer for dynamic hybrid flow green scheduling problem with dynamic events50
Deep learning modeling of public’s sentiments towards temporal evolution of COVID-19 transmission50
An in-depth analysis of ensemble multi-criteria decision making: A comprehensive guide to terminology, design, applications, evaluations, and future prospects50
Harris Hawk optimization driven adaptive image encryption integrating Hilbert vibrational decomposition and chaos50
Sparse and semi-attention guided faults diagnosis approach for distributed online services49
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey49
A multi-criteria decision support model for new energy vehicle selection considering social media influencer reviews and personalized preferences49
Carbon price forecasting system based on error correction and divide-conquer strategies49
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features49
Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy49
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms49
Genetic algorithm based probabilistic model for agile project success in global software development49
Knowledge-guided global optimization for expensive and black-box constrained multi-objective engineering design problems48
Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation48
A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization48
F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of 48
Day-ahead wind power prediction using an ensemble model considering multiple indicators combined with error correction48
Path-planning algorithm for small environmental surveillance unmanned surface vehicles48
Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events48
EEG emotion recognition based on Ordinary Differential Equation Graph Convolutional Networks and Dynamic Time Wrapping48
Multi-objective brainstorm optimization algorithm based on Bayesian inference learning automaton for solving CVRP with time windows47
k-means clustering and kNN classification based on negative databases47
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks47
A short-term residential load forecasting scheme based on the multiple correlation-temporal graph neural networks47
Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation47
Optimization of the distance-constrained multi-based multi-UAV routing problem with simulated annealing and local search-based matheuristic to detect forest fires: The case of Turkey47
Sustainable circular supplier evaluation in project-driven supply chains with a fuzzy stochastic decision model under uncertainty47
Optimal scale selection approach for classification based on generalized multi-scale formal context47
Intuitionistic fuzzy twin proximal SVM with fuzzy hyperplane and its application in EEG signal classification47
Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS47
Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series47
Kriging-assisted indicator-based evolutionary algorithm for expensive multi-objective optimization47
A feature selection method based on multiple feature subsets extraction and result fusion for improving classification performance46
Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment46
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method46
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting46
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