Applied Soft Computing

Papers
(The TQCC of Applied Soft Computing is 17. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Editorial Board318
Address wind farm layout problems by an adaptive Moth-flame Optimization Algorithm199
Sampling-based test scenarios searching method for autonomous system robustness evaluation186
Broad fractional-order echo state network with slime mould algorithm for multivariate time series prediction166
Late acceptance hill climbing based algorithm for Unmanned Aerial Vehicles (UAV) path planning problem161
Corrigendum to “Gray Wolf Optimizer for hyperspectral band selection” [Appl. Soft Comput. 40 (2016) 178–186]160
An efficient hyper-parameter optimization method for supervised learning153
RTAD-HIS: Regulated transformer architecture based anomaly detection framework towards security in healthcare IoT systems152
Temporal relation transformer for robust visual tracking with dual-memory learning149
An integrated probabilistic bipolar fermatean hesitant fuzzy transportation configuration for sustainable management of floral waste with risk assessment149
Prediction of strip section shape for hot-rolled based on mechanism fusion data model141
Recurrent ensemble random vector functional link neural network for financial time series forecasting138
Error feedback method (EFM) based dimension synthesis optimisation for four-bar linkage mechanism136
An integrated design concept evaluation method based on best–worst entropy and generalized TODIM considering multiple factors of uncertainty131
Neural collaborative filtering with multicriteria evaluation data131
Assessing sustainability of supply chains by fuzzy Malmquist network data envelopment analysis: Incorporating double frontier and common set of weights123
A lightweight multi-sensory field-based dual-feature fusion residual network for bird song recognition119
Enhancing knowledge distillation via genetic recombination118
Comprehensive survey of large models-driving intelligent decision making116
Adversarial multi-source domain generalization approach for power prediction in unknown photovoltaic systems115
Effects of diagram plane on neural network based modulation recognition114
A memetic evolution system with statistical variable classification for large-scale many-objective optimization114
Channel pruning guided by spatial and channel attention for DNNs in intelligent edge computing113
Sentiment analysis on a low-resource language dataset using multimodal representation learning and cross-lingual transfer learning110
Fuzzy multi-perspective conformance checking for business processes108
Simultaneous feature and instance selection in big noisy data using memetic variable neighborhood search108
Metaverse and microorganism digital twins: A deep transfer learning approach104
Pathology characteristics-aware federated learning for weakly supervised nuclei segmentation104
Spherical fuzzy sets based integrated DEMATEL, ANP, VIKOR approach and its application for renewable energy selection in Turkey102
GAN-based approach for data imputation and handling class imbalance using one class ensemble102
Face recognition with morphing attack removal using deep learning models101
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images101
An ensemble deep learning model for human activity analysis using wearable sensory data100
Optimizing workload distribution in Fog-Cloud ecosystem: A JAYA based meta-heuristic for energy-efficient applications99
Time series prediction for cryptocurrency markets with transformer and parallel convolutional neural networks99
Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget99
Detection of forest fire using deep convolutional neural networks with transfer learning approach99
Variable neighborhood search for weighted total domination problem and its application in social network information spreading98
A computationally efficient approximation calculation method in dominance-based rough set approach98
Collaborative semantic representation network for metaphor detection97
Granular computing-based time series anomaly pattern detection with semantic interpretation97
Meta-heuristic as manager in federated learning approaches for image processing purposes96
Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm95
A co-evolutionary genetic algorithm with knowledge transfer for multi-objective capacitated vehicle routing problems93
Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework93
Siamese learning based on graph differential equation for Next-POI recommendation92
The application of gradient evolution algorithm to an intuitionistic fuzzy neural network for forecasting medical cost of acute hepatitis treatment in Taiwan92
A collaborative competition multitasking framework for constrained multi-objective optimization91
Quality-aware fuzzy min–max neural networks for dynamic brain network analysis and its application to schizophrenia identification90
Multilayer time delay reservoir with double feedback loops for time series forecasting task90
An interpretable convolutional neural network for nuclear power plant abnormal events90
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship88
Multiscale attention feature deep fusion network for iris region localization and segmentation from dual-spectral iris image87
An optimal control policy in fighting COVID-19 and infectious diseases87
A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems86
A tabu search based approach for the Heterogeneous Fleet Vehicle Routing Problem with three-dimensional loading constraints85
Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach84
Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest83
Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information83
Evolutionary optimization of thermo-physical properties of MWCNT-Fe83
Efficient traffic-based IoT device identification using a feature selection approach with Lévy flight-based sine chaotic sub-swarm binary honey badger algorithm82
Investigations of color image segmentation based on connectivity measure, shape priority and normalized fuzzy graph cut82
An effective method based on simulated annealing for automatic generation control of power systems81
Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach81
Adaptive sliding mode control with hysteresis compensation-based neuroevolution for motion tracking of piezoelectric actuator81
Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform80
Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer’s Disease diagnosis via MRI images79
Graph-driven feature selection via granular-rectangular neighborhood rough sets for interval-valued data sets79
Evolutionary computation-based reliability quantification and its application in big data analysis on semiconductor manufacturing79
Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion79
Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting78
Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training78
Point cloud registration based on the dark forest algorithm and its application in coal industry78
Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT77
An entropy-based density peak clustering for numerical gene expression datasets77
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning77
An approach to investigate fairness using Dominance-based Rough Sets Analysis—How fair were the COVID-19 restriction decisions in the UK?76
An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum and engineering design problems76
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction76
Sample-analysis based adversarial attack with saliency map76
Deep neural aggregation for recommending items to group of users75
Tensor idempotent representation with auto-weighted exponential tensor nuclear norm minimization for multi-view clustering75
Quaternary converter based balanced graph contrastive learning for recommendation75
A Bayesian graph structure inference neural network based on adaptive connection sampling75
Arithmetic optimization algorithm with cosine composite chaotic mapping in polar coordinate system for economic load dispatching problems in power systems75
Parallel graph neural architecture search optimization with incomplete features74
Chinese calligraphy character generation with component-level style learning and structure-aware guidance73
An ensemble multi-swarm teaching–learning-based optimization algorithm for function optimization and image segmentation73
Learning fuzzy decision trees for predicting outcomes of legal cases relating to intellectual property rights73
Fast calculation for approximations in Dominance-based Rough Set Approach using Dual Information Granule72
Cooperative coevolutionary algorithm with resource allocation strategies to minimize unnecessary computations72
Niche-based cooperative co-evolutionary ensemble neural network for classification72
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems71
Hyperspectral image classification using Uniform Manifold Approximation and Projection with fusion deep learning network71
QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil71
Multi-task prompt adapter for vision-language model71
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities71
Multi-agent reinforcement learning system framework based on topological networks in Fourier space71
Integrated model and automatically designed solver for power system restoration71
Feature library-assisted surrogate model for evolutionary wrapper-based feature selection and classification70
Diffusion-based dynamic super-dense candidate boxes with random center points for 3D object detection70
Automatic frequency-based feature selection using discrete weighted evolution strategy70
Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer69
JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data69
Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv269
Image steganography based on style transfer and quaternion exponent moments68
A three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases68
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans67
A predictive intelligence approach for low-light enhancement67
An interval neural network-based Caputo fractional-order extreme learning machine applied to classification66
Enhancing vehicle detection in intelligent transportation systems via autonomous UAV platform and YOLOv8 integration66
The choice of scaling technique matters for classification performance66
Leaf disease detection using machine learning and deep learning: Review and challenges66
Unsupervised feature selection using chronological fitting with Shapley Additive explanation (SHAP) for industrial time-series anomaly detection66
An interval type-2 fuzzy ORESTE method for waste-to-energy plant site selection: A case study in China65
Residual LSTM based short-term load forecasting65
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment65
TSFIS-GWO: Metaheuristic-driven takagi-sugeno fuzzy system for adaptive real-time routing in WBANs65
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets65
An embedded Hamiltonian dynamic evolutionary neural network model for high-dimensional data recognition64
A dimensionless model and ant colony optimization fusion temperature prediction in tunnel fires64
Optimizing anomaly detection in 3D MRI scans: The role of ConvLSTM in medical image analysis64
Editorial Board64
A covariance-based Moth–flame optimization algorithm with Cauchy mutation for solving numerical optimization problems64
Editorial Board64
Object pose tracking using multimodal knowledge from RGB images and quaternion-based rotation contexts64
Imbalanced Broad Learning System with label relaxation and sample weight adaptation63
Protein-peptide interaction region residues prediction using a generative sampling technique and ensemble deep learning-based models63
A Chinese power text classification algorithm based on deep active learning63
A binary tree seed algorithm with selection-based local search mechanism for huge-sized optimization problems63
A dissolved oxygen levels prediction method based on single-hidden layer feedforward neural network using neighborhood information metric63
F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of 63
Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation62
AttenHideNet: A novel deep learning-based image steganography method using a lightweight U-net with soft attention62
Continual compression model for online continual learning62
Dynamic multi-objective optimization for uncertain order insertion green shop production scheduling62
Learning automata based particle swarm optimization for solving class imbalance problem61
Block-segmentation vectors for arousal prediction using semi-supervised learning61
Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs61
Explainability analysis: An in-depth comparison between Fuzzy Cognitive Maps and LAMDA61
On the behavior of parallel island models61
Robust approximation of the conditional mean for applications of Machine Learning60
Knowledge transfer for labeling unknown fuzzy sets using Grammar-Guided Genetic Algorithms60
Evolving kernel-based fuzzy system with nonlinear consequences60
Mask-based Self-supervised Network Intrusion Detection System59
Joint optimization of signal control and speed planning at isolated mixed-traffic signalized intersections59
Adversarial hard negative samples for continual relation extraction59
Emission reduction investment for green products of a manufacturing system via optimal control theory and artificial hummingbird algorithm59
Harris Hawk optimization driven adaptive image encryption integrating Hilbert vibrational decomposition and chaos59
NLBBODE optimizer for accurate and fast modeling of photovoltaic module/string generator and its application to solve real-world constrained optimization problems59
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes58
Neural architecture search via similarity adaptive guidance58
Multi-objective evolutionary optimization of unsupervised latent variables of turning process58
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey58
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion58
RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis58
Uncertainty estimation by boosting with Gaussian process for expensive optimization problems57
A control-oriented operation mode recognizing method using fuzzy evaluation and attention LSTM networks57
Efficient and privacy-preserving deep inference towards cloud–edge collaborative57
A fuzzy optimization model based on chaotic quantum AHA for offshore wind farm operation and maintenance scheduling problem57
Spatial–temporal graph transformer network for traffic network flow prediction using parallel training based on cloud computing57
Deep learning modeling of public’s sentiments towards temporal evolution of COVID-19 transmission57
Sustainable circular supplier evaluation in project-driven supply chains with a fuzzy stochastic decision model under uncertainty57
Deep convolutional generative adversarial network accelerated optimization algorithm for parameter optimization of permanent magnet synchronous generator controllers57
Federated semi-supervised learning with contrastive representations against noisy labels57
Differential evolution method integrated with a fuzzy decision-making mechanism and Virtual Mutant agent: Theory and application56
Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies56
A differential evolutionary chromosomal gene expression programming technique for electronic nose applications56
A methodology for using players’ chat content for dynamic difficulty adjustment in metaverse multiplayer games56
Failure mode and effects analysis method based on Fermatean fuzzy weighted Muirhead mean operator56
Harnessing collaborative learning automata to guide multi-objective optimization based inverse analysis for structural damage identification56
Directional optimization of elevator scheduling algorithms in complex traffic patterns56
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 numbers55
Matrix representations of the inverse problem in the graph model for conflict resolution with fuzzy preference55
Sparse and semi-attention guided faults diagnosis approach for distributed online services55
Shapelet selection for time series classification55
Optimal scale selection approach for classification based on generalized multi-scale formal context54
Discovering ensembles of small language models out of scarcely labelled data for fake news detection54
Path-planning algorithm for small environmental surveillance unmanned surface vehicles54
An evolutionary knowledge transfer framework for solving workgroup reconfiguration problem in aircraft final assembly54
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition54
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games54
Soft cosine and extended cosine adaptation for pre-trained language model semantic vector analysis53
Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking53
Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN53
Evaluating infant development through a novel hybrid intuitionistic fuzzy classification system53
Edge preserving range image smoothing using hybrid locally kernel-based weighted least square53
Neighbor self-embedding graph model for clustering ensemble53
Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion53
Few-shot intent detection with mutual information and contrastive learning52
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]52
Data-driven interval type-2 fuzzy learning controller design for tracking complex dynamical trajectories in robotic systems52
A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell52
Genetic algorithm based probabilistic model for agile project success in global software development52
Dynamical decomposition and selection based evolutionary algorithm for many-objective optimization52
Exploiting variability in the design of genetic algorithms to generate telerehabilitation activities51
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning51
A transformer-based deep learning approach for recognition of forgery methods in spoofing speech attribution51
VTNet: A multi-domain information fusion model for long-term multi-variate time series forecasting with application in irrigation water level51
Multi-objective firefly algorithm with adaptive region division51
Extended rule-based opinion target extraction with a novel text pre-processing method and ensemble learning51
A multi-criteria decision support model for new energy vehicle selection considering social media influencer reviews and personalized preferences50
An efficient and lightweight off-policy actor–critic reinforcement learning framework50
Robust graph contrastive learning with multi-hop views for node classification50
Knowledge-guided global optimization for expensive and black-box constrained multi-objective engineering design problems50
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features50
Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization50
Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy50
Benchmarking surrogate-based optimisation algorithms on expensive black-box functions50
A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization49
Explainable deep inherent learning for multi-classes skin lesion classification49
Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS49
A bearing prognosis framework based on deep wavelet extreme learning machine and particle filtering49
Using GAN-generated market simulations to guide genetic algorithms in index tracking optimization49
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method49
Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy49
Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events49
Knowledge-driven ant colony optimization algorithm for vehicle routing problem in instant delivery peak period49
k-means clustering and kNN classification based on negative databases49
An adaptive consensus model in large-scale group decision making with noncooperative and compromising behaviors49
A digital-twin-based adaptive multi-objective Harris Hawks Optimizer for dynamic hybrid flow green scheduling problem with dynamic events49
Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series48
Heterogeneous attention based transformer for sign language translation48
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning48
Railway network delay evolution: A heterogeneous graph neural network approach48
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem48
Multi-granularity relabeled under-sampling algorithm for imbalanced data48
Augmented support vector regression with an autoregressive process via an iterative procedure48
Dynamic task offloading in edge computing for computer access point selection based on adaptive deep reinforcement learning with meta-heuristic optimization48
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity48
1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan47
Ensemble clustering with low-rank optimal Laplacian matrix learning47
DQN-enabled content caching and quantum ant colony-based computation offloading in MEC47
Multi-branch and multi-loss learning for fine-grained image retrieval47
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
A soft set theoretic approach to network complexity and a case study for Turkish Twitter users47
Intuitionistic fuzzy twin proximal SVM with fuzzy hyperplane and its application in EEG signal classification47
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection47
Improved Harris hawks optimization algorithm based on random unscented sigma point mutation strategy47
A deep residual neural network model for synchronous motor fault diagnostics47
A feature selection method based on multiple feature subsets extraction and result fusion for improving classification performance47
A multi-strategy iterated greedy algorithm with three-phase for hybrid flow shop scheduling in distributed factory47
An interpretable evolutionary broad learning system for damage identification in aircraft structures using Lamb waves47
Design of fractional comprehensive learning PSO strategy for optimal power flow problems46
EEG emotion recognition based on Ordinary Differential Equation Graph Convolutional Networks and Dynamic Time Wrapping46
Predicting cell–cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean46
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms46
A light spatial-frequency network for robust iris segmentation and localization46
A simple and flexible bootstrap-based framework to quantify epistemic uncertainty of ground motion models by light gradient boosting machine46
Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation46
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