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