All Stories

  1. Depth-wise fusion convolutional scaling network for vessel segmentation
  2. Prey capture enhanced Harris hawks optimizer for wrapper-based feature selection in high-dimensional medical data
  3. LEE: A physics-inspired optimizer based on LangEvin equation
  4. Chaotic games driven grey Wolf optimization: optimal performance design and comprehensive analysis
  5. Enhancing post-induction hypotension prediction based on exemplar learning with crossover restart strategy driven feature selection
  6. Rime algorithm with partial reinforcement and edge strategies for lupus nephritis image segmentation
  7. AFSRIME: A high-performance lupus nephritis image segmentation method using adaptive rime factor-enhanced rime optimization and foraging storage strategy
  8. DPDEPSO: A particle swarm optimization for balancing different objectives in multi-objective feature selection
  9. Gaussian-driven dynamic artemisinin optimization for feature selection in high-dimensional medical data
  10. KING: An efficient optimization approach
  11. Gaussian bare‑bone JAYA algorithm for multi-threshold medical image segmentation
  12. Enhanced kernel search algorithm for optimizing local search capability and its application to carbon fiber draft process
  13. Enhanced kernel search optimizer with sand cat behavior and multi-strategy fusion for economic emission dispatch
  14. Predictive modeling of gastric cancer progression: an advanced approach for early detection of plasma membrane invasion
  15. Parameter Identification of Photovoltaic Models Using an Enhanced INFO Algorithm
  16. Enhanced sine cosine algorithm for multi-threshold image segmentation: a breast cancer pathology image study
  17. Exponential distribution optimizer for improving multiple strategies in feature selection
  18. Advancing predictive modeling of LPS-induced acute lung injury: A machine learning model for success rate prediction
  19. Beaver behavior optimizer: A novel metaheuristic algorithm for solar PV parameter identification and engineering problems
  20. The status-based optimization: Algorithm and comprehensive performance analysis
  21. REBSA: Enhanced backtracking search for multi-threshold segmentation of breast cancer images
  22. An Evolutionary Neural Architecture Search Method Accelerated by Multi-Fidelity Evaluation and Genetic Decision Controller
  23. An enhanced black-winged kite algorithm boosted machine learning prediction model for patients’ waiting time
  24. Multi-strategy ensemble binary RIME optimization for feature selection
  25. Multiscale attention feature deep fusion network for iris region localization and segmentation from dual-spectral iris image
  26. RIME optimization with dynamic multi-dimensional random mechanism and Nelder–Mead simplex for photovoltaic parameter estimation
  27. Balancing exploration and exploitation in moth-flame optimization for global optimization and feature selection
  28. A hybrid wind speed forecasting model with rolling mapping decomposition and temporal convolutional networks
  29. An enhanced tree-seed algorithm for global optimization and neural architecture search optimization in medical image segmentation
  30. A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications
  31. An intelligent system for the diagnosis of bladder cancer using enhanced hunger games search and support vector machine
  32. Covariance matrix adaptation driven dynamic multi-population colony predation optimizer: Insights, qualitative analysis, and constrained engineering optimization
  33. Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection
  34. Swarm intelligence enhanced machine learning model for predicting prognostic outcome in IgA Nephropathy patients with mild proteinuria
  35. Triangular-based sine cosine algorithm for global search and feature selection
  36. An efficient intelligent intrusion detection system using fuzzy logic based on the Particle Swarm Optimization algorithm: A case study
  37. An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion
  38. Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets
  39. Adaptive density-based clustering for many objective similarity or redundancy evolutionary optimization
  40. An enhancing diagnostic pulmonary diseases diagnostic method for differentiating talaromycosis from tuberculosis
  41. Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritis
  42. UNeSt: A fast segmentation network for colorectal polyps based on MLP and deep separable convolution
  43. Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection
  44. WHHO: enhanced Harris hawks optimizer for feature selection in high-dimensional data
  45. CGWRIME: collaboration and competition-boosted RIME optimizer for engineering optimization problems
  46. Weighted mean of vectors algorithm with neighborhood information interaction and vertical and horizontal crossover mechanism for feature selection
  47. Dual-weight decay mechanism and Nelder-Mead simplex boosted RIME algorithm for optimal power flow
  48. An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation
  49. DSEUNet: A lightweight UNet for dynamic space grouping enhancement for skin lesion segmentation
  50. Escape: an optimization method based on crowd evacuation behaviors
  51. ACGRIME: adaptive chaotic Gaussian RIME optimizer for global optimization and feature selection
  52. Optimal performance design of bat algorithm: An adaptive multi‐stage structure
  53. Feature selection using metaheuristics made easy: Open source MAFESE library in Python
  54. Double Enhanced Solution Quality Boosted RIME Algorithm with Crisscross Operations for Breast Cancer Image Segmentation
  55. FATA: An efficient optimization method based on geophysics
  56. Learner Phase of Partial Reinforcement Optimizer with Nelder-Mead Simplex for Parameter Extraction of Photovoltaic Models
  57. Polar lights optimizer: Algorithm and applications in image segmentation and feature selection
  58. Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection
  59. An advanced RIME optimizer with random reselection and Powell mechanism for engineering design
  60. An efficient weighted slime mould algorithm for engineering optimization
  61. Multi-threshold image segmentation based on an improved whale optimization algorithm: A case study of Lupus Nephritis
  62. An enhanced Moth-Flame optimizer with quality enhancement and directional crossover: optimizing classic engineering problems
  63. An advanced kernel search optimization for dynamic economic emission dispatch with new energy sources
  64. Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation
  65. Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images
  66. PRCNet: A parallel reverse convolutional attention network for colorectal polyp segmentation
  67. S$^{2}$O-Det: A Semisupervised Oriented Object Detection Network for Remote Sensing Images
  68. The moss growth optimization (MGO): concepts and performance
  69. Optimizing microseismic monitoring: a fusion of Gaussian–Cauchy and adaptive weight strategies
  70. Multi-threshold image segmentation using a boosted whale optimization: case study of breast invasive ductal carcinomas
  71. IRIME: Mitigating exploitation-exploration imbalance in RIME optimization for feature selection
  72. Q-learning guided mutational Harris hawk optimizer for high-dimensional gene data feature selection
  73. Stochastic biogeography-based learning improved RIME algorithm: application to image segmentation of lupus nephritis
  74. Environment random interaction of rime optimization with Nelder-Mead simplex for parameter estimation of photovoltaic models
  75. An improved weighted mean of vectors optimizer for multi-threshold image segmentation: case study of breast cancer
  76. Cross and local optimal avoidance of RIME algorithm: A segmentation study for COVID-19 X-ray images
  77. Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis
  78. Robust kernel extreme learning machines with weighted mean of vectors and variational mode decomposition for forecasting total dissolved solids
  79. The educational competition optimizer
  80. Improved Runge Kutta Optimization Using Compound Mutation Strategy in Reinforcement Learning Decision Making for Feature Selection
  81. Slime mould algorithm with horizontal crossover and adaptive evolutionary strategy: performance design for engineering problems
  82. Bat algorithm based on kinetic adaptation and elite communication for engineering problems
  83. Enhancing network security with information-guided-enhanced Runge Kutta feature selection for intrusion detection
  84. Enhancing slime mould algorithm for engineering optimization: leveraging covariance matrix adaptation and best position management
  85. Improved Latin hypercube sampling initialization-based whale optimization algorithm for COVID-19 X-ray multi-threshold image segmentation
  86. Single Solution Optimization Mechanism of Teaching-Learning-Based Optimization with Weighted Probability Exploration for Parameter Estimation of Photovoltaic Models
  87. Multi‐strategy Grey Wolf Optimizer for Engineering Problems and Sewage Treatment Prediction
  88. Gradient pyramid mechanism and Nelder-Mead simplex enhanced Colony Predation Algorithm for optimal power flow problems
  89. ICycle-GAN: Improved cycle generative adversarial networks for liver medical image generation
  90. Hunger games search algorithm based on stochastic individual information for engineering design optimization problems
  91. Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation
  92. Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering
  93. Advancing forensic-based investigation incorporating slime mould search for gene selection of high-dimensional genetic data
  94. A Resampling Ant Colony Optimization with Elite Exploration and Convergence Mechanism for Multithreshold Segmentation of Breast Cancer Images
  95. Parrot optimizer: Algorithm and applications to medical problems
  96. Two-Stage and Two-Discriminator generative adversarial network for the inpainting of irregularly incomplete iris images
  97. WHRIME: A weight-based recursive hierarchical RIME optimizer for breast cancer histopathology image segmentation
  98. Mutated opposition-based learning and Nelder-Mead simplex enhanced grey wolf optimizer for photovoltaic model parameter estimation
  99. Fusion detection and ReID embedding with hybrid attention for multi-object tracking
  100. Gaussian Backbone-Based Spherical Evolutionary Algorithm with Cross-search for Engineering Problems
  101. Balancing Exploration–Exploitation of Multi-verse Optimizer for Parameter Extraction on Photovoltaic Models
  102. Super‐evolutionary mechanism and Nelder‐Mead simplex enhanced salp swarm algorithm for photovoltaic model parameter estimation
  103. Enhanced slime mould algorithm with backtracking search algorithm: global optimization and feature selection
  104. IRIME: A Novel Approach to Mitigating Exploitation-Exploration Imbalance in Rime Optimization Algorithm for Feature Selection
  105. Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection
  106. Chaotic games driven grey wolf optimization: optimal performance design and comprehensive analysis
  107. Advancing gene feature selection: Comprehensive learning modified hunger games search for high-dimensional data
  108. Directional crossover hunger games search with adaptive Lévy diversity for network subculture
  109. Integrating Positive and Negative Information Feedback in Evolutionary Algorithms for Medical Applications
  110. Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems
  111. Kernel extreme learning with harmonized bat algorithm for prediction of pyrene toxicity in rats
  112. An Enhanced RIME Optimizer with Horizontal and Vertical Crossover for Discriminating Microseismic and Blasting Signals in Deep Mines
  113. Multi-threshold remote sensing image segmentation with improved ant colony optimizer with salp foraging
  114. Face Image Segmentation Using Boosted Grey Wolf Optimizer
  115. Advanced slime mould algorithm incorporating differential evolution and Powell mechanism for engineering design
  116. An accelerated sine mapping whale optimizer for feature selection
  117. OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection
  118. An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems
  119. Boosting Kernel Search Optimizer with Slime Mould Foraging Behavior for Combined Economic Emission Dispatch Problems
  120. A solution to the stagnation of multi-verse optimization: An efficient method for breast cancer pathologic images segmentation
  121. Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection
  122. Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray
  123. Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images
  124. Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection
  125. Unsupervised domain adaptation via style adaptation and boundary enhancement for medical semantic segmentation
  126. Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
  127. Multi-threshold image segmentation based on an improved differential evolution: Case study of thyroid papillary carcinoma
  128. Reinforcement Learning to Harmonize Performance of Shuffled Frog Leading Algorithm: A Solution for Optimized Photovoltaic Cells
  129. Comprehensive Learning Strategy Enhanced Chaotic Whale Optimization for High-dimensional Feature Selection
  130. Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems
  131. Gaussian similarity-based adaptive dynamic label assignment for tiny object detection
  132. From coarse to fine: Two-stage deep residual attention generative adversarial network for repair of iris textures obscured by eyelids and eyelashes
  133. Improved Colony Predation Algorithm Optimized Convolutional Neural Networks for Electrocardiogram Signal Classification
  134. A vertical and horizontal crossover sine cosine algorithm with pattern search for optimal power flow in power systems
  135. An artificial bee bare-bone hunger games search for global optimization and high-dimensional feature selection
  136. Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++
  137. Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma
  138. RIME: A physics-based optimization
  139. Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction
  140. Dynamic Individual Selection and Crossover Boosted Forensic-based Investigation Algorithm for Global Optimization and Feature Selection
  141. Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images
  142. Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer
  143. An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation
  144. Dimensional decision covariance colony predation algorithm: global optimization and high−dimensional feature selection
  145. An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
  146. Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19
  147. A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data
  148. ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans
  149. Class-aware sample reweighting optimal transport for multi-source domain adaptation
  150. Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection
  151. Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution
  152. Performance optimization of water cycle algorithm for multilevel lupus nephritis image segmentation
  153. Enhanced Moth-flame Optimizer with Quasi-Reflection and Refraction Learning with Application to Image Segmentation and Medical Diagnosis
  154. Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19
  155. An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms
  156. Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures
  157. Hybrid kernel search and particle swarm optimization with Cauchy perturbation for economic emission load dispatch with valve point effect
  158. bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
  159. Salp swarm algorithm with iterative mapping and local escaping for multi-level threshold image segmentation: a skin cancer dermoscopic case study
  160. Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images
  161. Cauchy mutation boosted Harris hawk algorithm: optimal performance design and engineering applications
  162. Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet
  163. Hierarchical Harris hawks optimizer for feature selection
  164. Slime mould algorithm: a comprehensive review of recent variants and applications
  165. A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China
  166. Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques
  167. A Boosted Communicational Salp Swarm Algorithm: Performance Optimization and Comprehensive Analysis
  168. Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization
  169. Mutational Chemotaxis Motion Driven Moth-Flame Optimizer for Engineering Applications
  170. Boosted backtracking search optimization with information exchange for photovoltaic system evaluation
  171. Horizontal and vertical crossover of sine cosine algorithm with quick moves for optimization and feature selection
  172. A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making
  173. Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization
  174. A horizontal and vertical crossover cuckoo search: optimizing performance for the engineering problems
  175. Directional crossover slime mould algorithm with adaptive Lévy diversity for the optimal design of real-world problems
  176. Information sharing search boosted whale optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
  177. A Wavelet PM2.5 Prediction System Using Optimized Kernel Extreme Learning with Boruta-XGBoost Feature Selection
  178. Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
  179. Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
  180. Laplace crossover and random replacement strategy boosted Harris hawks optimization: performance optimization and analysis
  181. Mutational Slime Mould Algorithm for Gene Selection
  182. Extremal Nelder–Mead colony predation algorithm for parameter estimation of solar photovoltaic models
  183. Individual disturbance and neighborhood mutation search enhanced whale optimization: performance design for engineering problems
  184. Advanced orthogonal learning and Gaussian barebone hunger games for engineering design
  185. Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition
  186. Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search
  187. An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis
  188. An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis
  189. Multi-strategy ensemble binary hunger games search for feature selection
  190. Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
  191. Hierarchical Harris hawks optimization for epileptic seizure classification
  192. INFO: An efficient optimization algorithm based on weighted mean of vectors
  193. An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders
  194. Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines
  195. Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN
  196. Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design
  197. Quantum Nelder‐Mead Hunger Games Search for optimizing photovoltaic solar cells
  198. Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis
  199. Generative Adversarial Networks in Medical Image augmentation: A review
  200. Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
  201. Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
  202. Optimized deep residual network system for diagnosing tomato pests
  203. Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis
  204. Enhancing Secrecy Performance of Cooperative NOMA-Based IoT Networks via Multiantenna-Aided Artificial Noise
  205. Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design
  206. Adaptive slime mould algorithm for optimal design of photovoltaic models
  207. Parameter identification of photovoltaic models using a sine cosine differential gradient based optimizer
  208. Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization
  209. Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction
  210. An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images
  211. Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine
  212. Estimating daily global solar radiation in hot semi-arid climate using an efficient hybrid intelligent system
  213. Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation
  214. Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images
  215. Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm
  216. Performance optimization of photovoltaic systems: Reassessment of political optimization with a quantum Nelder-mead functionality
  217. Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
  218. Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
  219. Solar photovoltaic model parameter estimation based on orthogonally-adapted gradient-based optimization
  220. Apple leaf disease recognition method with improved residual network
  221. Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method
  222. Individual Disturbance and Attraction Repulsion Strategy Enhanced Seagull Optimization for Engineering Design
  223. Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
  224. An effective model for predicting serum albumin level in hemodialysis patients
  225. Random reselection particle swarm optimization for optimal design of solar photovoltaic modules
  226. Multi-Threshold Image Segmentation of Maize Diseases Based on Elite Comprehensive Particle Swarm Optimization and Otsu
  227. Opposition-based moth swarm algorithm
  228. Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
  229. Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems
  230. Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study
  231. Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy
  232. Chaotic diffusion‐limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection
  233. RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
  234. Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems
  235. Secret Sharing-based Personal Health Records Management for the Internet of Health Things
  236. Boosting quantum rotation gate embedded slime mould algorithm
  237. Boosting slime mould algorithm for parameter identification of photovoltaic models
  238. Delayed dynamic step shuffling frog-leaping algorithm for optimal design of photovoltaic models
  239. Evolutionary shuffled frog leaping with memory pool for parameter optimization
  240. A text GAN framework for creative essay recommendation
  241. An evolutionary Nelder–Mead slime mould algorithm with random learning for efficient design of photovoltaic models
  242. Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules
  243. Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
  244. Improvement and application of intelligent optimization algorithm
  245. Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization
  246. Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
  247. Evaluation of constraint in photovoltaic cells using ensemble multi-strategy shuffled frog leading algorithms
  248. Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine
  249. Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation
  250. Laplacian Nelder-Mead spherical evolution for parameter estimation of photovoltaic models
  251. An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection
  252. Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study
  253. Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings
  254. Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis
  255. MFeature: Towards High Performance Evolutionary Tools for Feature Selection
  256. Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
  257. Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition
  258. Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method
  259. Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
  260. Survival exploration strategies for Harris Hawks Optimizer
  261. Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
  262. Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
  263. Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
  264. Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis
  265. Harris hawks optimization: a comprehensive review of recent variants and applications
  266. Multi-core sine cosine optimization: Methods and inclusive analysis
  267. Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
  268. Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
  269. Random learning gradient based optimization for efficient design of photovoltaic models
  270. Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting
  271. Evolutionary competitive swarm exploring optimal support vector machines and feature weighting
  272. Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review
  273. A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization
  274. An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study
  275. Chaotic Arc Adaptive Grasshopper Optimization
  276. Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods
  277. Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
  278. Human Short-Long Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities
  279. MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting
  280. Spiral Motion Mode Embedded Grasshopper Optimization Algorithm: Design and Analysis
  281. A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil’s Rainforests
  282. AI assisted Edge Vision for Violence Detection in IoT based Industrial Surveillance Networks
  283. Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning
  284. Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making
  285. Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis
  286. Quantum-like mutation-induced dragonfly-inspired optimization approach
  287. A quantum-behaved simulated annealing algorithm-based moth-flame optimization method
  288. Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems
  289. Augmented whale feature selection for IoT attacks: Structure, analysis and applications
  290. Boosted hunting-based fruit fly optimization and advances in real-world problems
  291. Exploratory differential ant lion-based optimization
  292. Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis
  293. Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
  294. Evaluation of constraint in photovoltaic models by exploiting an enhanced ant lion optimizer
  295. Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
  296. An efficient Harris hawks-inspired image segmentation method
  297. Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
  298. Orthogonal learning harmonizing mutation-based fruit fly-inspired optimizers
  299. Slime mould algorithm: A new method for stochastic optimization
  300. Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
  301. AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents
  302. A dynamic locality multi-objective salp swarm algorithm for feature selection
  303. An efficient double adaptive random spare reinforced whale optimization algorithm
  304. Chaotic oppositional sine–cosine method for solving global optimization problems
  305. Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
  306. Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis
  307. Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules
  308. Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach
  309. A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
  310. Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
  311. Boosted mutation-based Harris hawks optimizer for parameters identification of single-diode solar cell models
  312. Gaussian mutational chaotic fruit fly-built optimization and feature selection
  313. A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems
  314. Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines
  315. Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine
  316. Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
  317. Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer
  318. Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers
  319. Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine
  320. Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algorithms
  321. Rationalized Sine Cosine Optimization With Efficient Searching Patterns
  322. Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization With Support Vector Machines
  323. Application of Machine Learning to Stomatology: A Comprehensive Review
  324. Autonomous Robot Navigation Using Moth-Flame-Based Neuroevolution
  325. Binary Harris Hawks Optimizer for High-Dimensional, Low Sample Size Feature Selection
  326. Efficient Moth-Flame-Based Neuroevolution Models
  327. Link Prediction Using Evolutionary Neural Network Models
  328. Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification
  329. Salp Chain-Based Optimization of Support Vector Machines and Feature Weighting for Medical Diagnostic Information Systems
  330. Harmonized salp chain-built optimization
  331. An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
  332. An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
  333. Multi-strategy boosted mutative whale-inspired optimization approaches
  334. Time-Varying Hierarchical Chains of Salps with Random Weight Networks for Feature Selection
  335. Harris hawks optimization: Algorithm and applications
  336. Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training
  337. An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
  338. Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
  339. Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection
  340. A balanced whale optimization algorithm for constrained engineering design problems
  341. An Evolutionary Gravitational Search-based Feature Selection
  342. Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach
  343. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks
  344. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
  345. Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems
  346. Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering
  347. Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
  348. An enhanced associative learning-based exploratory whale optimizer for global optimization
  349. An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
  350. Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers
  351. Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier
  352. Binary dragonfly optimization for feature selection using time-varying transfer functions
  353. Asynchronous accelerating multi-leader salp chains for feature selection
  354. An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
  355. An efficient hybrid multilayer perceptron neural network with grasshopper optimization
  356. Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems
  357. Enhanced Chaotic Grey Wolf Optimizer for Real-World Optimization Problems
  358. An efficient modified grey wolf optimizer with Lévy flight for optimization tasks
  359. A NEW HYBRID YIN-YANG-PAIR-PARTICLE SWARM OPTIMIZATION ALGORITHM FOR UNCAPACITATED WAREHOUSE LOCATION PROBLEMS
  360. ESTIMATING ORIGIN-DESTINATION MATRICES USING AN EFFICIENT MOTH FLAME-BASED SPATIAL CLUSTERING APPROACH
  361. Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
  362. A MODIFIED GENETIC ALGORITHM FOR FINDING FUZZY SHORTEST PATHS IN UNCERTAIN NETWORKS
  363. AN EFFECTIVE HYBRID SUPPORT VECTOR REGRESSION WITH CHAOS-EMBEDDED BIOGEOGRAPHY-BASED OPTIMIZATION STRATEGY FOR PREDICTION OF EARTHQUAKE-TRIGGERED SLOPE DEFORMATIONS
  364. OBCHS: AN EFFECTIVE HARMONY SEARCH ALGORITHM WITH OPPOSITIONBASED CHAOS-ENHANCED INITIALIZATION FOR SOLVING UNCAPACITATED FACILITY LOCATION PROBLEMS
  365. An efficient chaotic water cycle algorithm for optimization tasks
  366. PATH PLANNING OF AN AUTONOMOUS MOBILE MULTI-SENSOR PLATFORM IN A 3D ENVIRONMENT USING NEWTONIAN IMPERIALIST COMPETITIVE OPTIMIZATION METHOD