All Stories

  1. Meta-learning approaches for few-shot learning: A survey of recent advances
  2. A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems
  3. Framework for Healthy/Hemorrhagic Brain Condition Detection using CT Scan Images
  4. Evolutionary Machine Learning: A Survey
  5. GECCO 2022#
  6. A Review on Osmotic Computing
  7. Understanding the Effects of Ant Algorithms on Path Planning with Gain-Ant Colony Optimization
  8. N-Gram-Based Machine Learning Approach for Bot or Human Detection from Text Messages
  9. Experimental and numerical investigation of multi-layer flood wave propagation over bumpy downstream
  10. Prediction error of Johansen cointegration residuals for structural health monitoring
  11. RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
  12. A hybrid evolutionary algorithm for stability analysis of 2-area multi-non-conventional system with communication delay and energy storage
  13. A self-adaptive hybridized differential evolution naked mole-rat algorithm for engineering optimization problems
  14. Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
  15. Prediction of seismic damage spectra using computational intelligence methods
  16. A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks
  17. Groundwater sustainability: Developing a non-cooperative optimal management scenario in shared groundwater resources under water bankruptcy conditions
  18. Cyberstalking Victimization Model Using Criminological Theory: A Systematic Literature Review, Taxonomies, Applications, Tools, and Validations
  19. Structural damage identification under non-linear EOV effects using genetic programming
  20. An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling
  21. Population-based optimization in structural engineering: a review
  22. A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
  23. Erratum for “Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems” by Subhrajit Dutta and Amir H. Gandomi
  24. Spectral acceleration prediction using genetic programming based approaches
  25. Aquila Optimizer: A novel meta-heuristic optimization algorithm
  26. Investigating bound handling schemes and parameter settings for the interior search algorithm to solve truss problems
  27. Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
  28. Case Study for Quantifying Flood Resilience of Interdependent Building–Roadway Infrastructure Systems
  29. Genetic programming to formulate viscoelastic behavior of modified asphalt binder
  30. MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction
  31. Correction to “SDCF: A Software-Defined Cyber Foraging Framework for Cloudlet Environment”
  32. Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things
  33. Double-hierarchy hesitant fuzzy linguistic information-based framework for green supplier selection with partial weight information
  34. Improved NSGA-III with Second-Order Difference Random Strategy for Dynamic Multi-Objective Optimization
  35. Material Generation Algorithm: A Novel Metaheuristic Algorithm for Optimization of Engineering Problems
  36. Assessment of cloud vendors using interval‐valued probabilistic linguistic information and unknown weights
  37. The Colony Predation Algorithm
  38. Application of mutation operators to salp swarm algorithm
  39. A Prediction Model for the Calculation of Effective Stiffness Ratios of Reinforced Concrete Columns
  40. A baseline-free damage detection method using VBI incomplete measurement data
  41. The Arithmetic Optimization Algorithm
  42. CH Selection via Adaptive Threshold Design Aligned on Network Energy
  43. Evaluation of the Mechanical Properties of Normal Concrete Containing Nano-MgO under Freeze–Thaw Conditions by Evolutionary Intelligence
  44. Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics
  45. Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases
  46. Improved salient object detection using hybrid Convolution Recurrent Neural Network
  47. Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data
  48. A Survey of Learning-Based Intelligent Optimization Algorithms
  49. Big Data
  50. A decision framework under probabilistic hesitant fuzzy environment with probability estimation for multi-criteria decision making
  51. A review on COVID-19 forecasting models
  52. Introduction of ABCEP as an automatic programming method
  53. Self adaptive cuckoo search: Analysis and experimentation
  54. Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks
  55. A Comparison of Constraint Handling Techniques on NSGA-II
  56. Addressing Security and Privacy Issues of IoT Using Blockchain Technology
  57. Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering
  58. Authentication and Key Management in Distributed IoT using Blockchain Technology
  59. Ensemble Classification and IoT Based Pattern Recognition for Crop Disease Monitoring System
  60. Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring
  61. Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data
  62. Towards Precision Agriculture: IoT-enabled Intelligent Irrigation Systems Using Deep Learning Neural Network
  63. Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data
  64. Solving renewable energy source selection problems using a q-rung orthopair fuzzy-based integrated decision-making approach
  65. A neural network to predict spectral acceleration
  66. Artificial Intelligence Applied to Stock Market Trading: A Review
  67. Improvement of shear strength of cohesive soils by additives: A review
  68. Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
  69. A progressive hedging approach for large-scale pavement maintenance scheduling under uncertainty
  70. Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
  71. Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence
  72. Machine Learning Inspired Phishing Detection (PD) for Efficient Classification and Secure Storage Distribution (SSD) for Cloud-IoT Application
  73. An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities
  74. An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals
  75. Financial time-series analysis of Brazilian stock market using machine learning
  76. Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information
  77. SDCF: A Software-Defined Cyber Foraging Framework for Cloudlet Environment
  78. Particle Swarm Optimization Variants for Solving Geotechnical Problems: Review and Comparative Analysis
  79. Lightning search algorithm: a comprehensive survey
  80. A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection
  81. Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems
  82. COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features
  83. Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries
  84. Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
  85. Optimization of Routing-Based Clustering Approaches in Wireless Sensor Network: Review and Open Research Issues
  86. Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
  87. Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19
  88. Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network
  89. Multiobjective genetic programming for reinforced concrete beam modeling
  90. Structural health monitoring of railway tracks using IoT-based multi-robot system
  91. R-CNN and wavelet feature extraction for hand gesture recognition with EMG signals
  92. Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming
  93. Machine learning-based left ventricular hypertrophy detection using multi-lead ECG signal
  94. Marine Predators Algorithm: A nature-inspired metaheuristic
  95. Interval-valued probabilistic hesitant fuzzy set-based framework for group decision-making with unknown weight information
  96. Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems
  97. Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure
  98. A survey of evolutionary computation for association rule mining
  99. Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
  100. Improving End-Users Utility in Software-Defined Wide Area Network Systems
  101. Surface altering optimisation in slope stability analysis with non-circular failure for random limit equilibrium method
  102. A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling
  103. The Revolution of Blockchain: State-of-the-Art and Research Challenges
  104. Implicit constraints handling for efficient search of feasible solutions
  105. Detection and isolation of black hole attack in mobile ad hoc networks - a review
  106. Association Rule Learning Is an Easy and Efficient Method for Identifying Profiles of Traumas and Stressors that Predict Psychopathology in Disaster Survivors: The Example of Sri Lanka
  107. Advanced Ant Colony Optimization in Healthcare Scheduling
  108. Evolutionary Computation in Scheduling
  109. A Technical Survey on Intelligent Optimization Grouping Algorithms for Finite State Automata in Deep Packet Inspection
  110. Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks
  111. Pavement maintenance and rehabilitation planning optimisation under budget and pavement deterioration uncertainty
  112. Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony
  113. Loading rate effect on fracture behavior of fiber reinforced high strength concrete using a semi-circular bending test
  114. Evolutionary Many-Objective Algorithms for Combinatorial Optimization Problems: A Comparative Study
  115. Hash polynomial two factor decision tree using IoT for smart health care scheduling
  116. Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors
  117. An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement
  118. Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization
  119. Consolidation assessment using Multi Expression Programming
  120. I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring
  121. Securing Data in Internet of Things (IoT) Using Cryptography and Steganography Techniques
  122. A New Pythagorean Fuzzy Based Decision Framework for Assessing Healthcare Waste Treatment
  123. A WiVi Based IoT Framework for Detection of Human Trafficking Victims Kept in Hideouts
  124. Computational intelligence for modeling of asphalt pavement surface distress
  125. Computational intelligence for modeling of pavement surface characteristics
  126. Design of experiments for uncertainty quantification based on polynomial chaos expansion metamodels
  127. Probabilistic neural networks
  128. Surrogate Model-Driven Evolutionary Algorithms: Theory and Applications
  129. Guest Editorial Nature-Inspired Approaches for IoT and Big Data
  130. A Shannon entropy approach for structural damage identification based on self-powered sensor data
  131. CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
  132. Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
  133. Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
  134. Personalised modelling with spiking neural networks integrating temporal and static information
  135. Software review: the GPTIPS platform
  136. Solving Incremental Optimization Problems via Cooperative Coevolution
  137. Optimum design of shallow foundation using evolutionary algorithms
  138. A deep neural network based classifier for brain tumor diagnosis
  139. Assistive pointer device for limb impaired people: A novel Frontier Point Method for hand movement recognition
  140. Multi-objective heat transfer search algorithm for truss optimization
  141. Structural optimization using multi-objective modified adaptive symbiotic organisms search
  142. Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)
  143. Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application
  144. Optimum design of reinforced earth walls using evolutionary optimization algorithms
  145. A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi
  146. Big data analytics in medical imaging using deep learning
  147. A hybrid computational intelligence approach to predict spectral acceleration
  148. Using semi-independent variables to enhance optimization search
  149. Classification of stroke disease using machine learning algorithms
  150. Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach
  151. Duo-Stage Decision: A Framework for Filling Missing Values, Consistency Check, and Repair of Decision Matrices in Multicriteria Group Decision Making
  152. Robust Defense Scheme Against Selective Drop Attack in Wireless Ad Hoc Networks
  153. Securing e-health records using keyless signature infrastructure blockchain technology in the cloud
  154. A hybrid computational approach for seismic energy demand prediction
  155. Multi-stage optimization of a deep model: A case study on ground motion modeling
  156. Metaheuristics in Reliability and Risk Analysis
  157. Genetic programming for soil-fiber composite assessment
  158. Deep Learning in Medical Imaging
  159. A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction
  160. An Evolutionary Online Framework for MOOC Performance Using EEG Data
  161. Probabilistic evolutionary bound constraint handling for particle swarm optimization
  162. A scalable communication abstraction framework for internet of things applications using Raspberry Pi
  163. Parameter-less population pyramid for large-scale tower optimization
  164. Construction Cost Minimization of Shallow Foundation Using Recent Swarm Intelligence Techniques
  165. Building energy consumption forecast using multi-objective genetic programming
  166. An input–output damage detection method using static equivalent formulation of dynamic vibration
  167. Automating pseudo-static analysis of concrete cantilever retaining wall using evolutionary algorithms
  168. Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
  169. Genetic Programming Based on Error Decomposition: A Big Data Approach
  170. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
  171. Constrained mean-variance mapping optimization for truss optimization problems
  172. A novel hybridization strategy for krill herd algorithm applied to clustering techniques
  173. The Bat Algorithm, Variants and Some Practical Engineering Applications: A Review
  174. Reliability-Based Multiobjective Design Optimization of Reinforced Concrete Bridges Considering Corrosion Effect
  175. New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach
  176. High Performance GP-Based Approach for fMRI Big Data Classification
  177. Big data in civil engineering
  178. A comprehensive review of krill herd algorithm: variants, hybrids and applications
  179. An evolutionary approach for fMRI big data classification
  180. Seismic Failure Probability and Vulnerability Assessment of Steel-Concrete Composite Structures
  181. Chaotic gravitational constants for the gravitational search algorithm
  182. Retaining wall optimization using interior search algorithm with different bound constraint handling
  183. Gene expression programming approach to cost estimation formulation for utility projects
  184. Adaptive Krill Herd Algorithm for Global Numerical Optimization
  185. Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement
  186. New formulations for mechanical properties of recycled aggregate concrete using gene expression programming
  187. Optimal adjustment of ACI formula for shrinkage of concrete containing pozzolans
  188. New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach
  189. Evolutionary bound constraint handling for particle swarm optimization
  190. Optimization of retaining wall design using evolutionary algorithms
  191. Slope stability analysis using evolutionary optimization techniques
  192. Risk analysis of BOT contracts using soft computing
  193. A hybrid damage detection method using dynamic-reduction transformation matrix and modal force error
  194. Opposition-based krill herd algorithm with Cauchy mutation and position clamping
  195. A new hybrid method based on krill herd and cuckoo search for global optimisation tasks
  196. Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems
  197. Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes
  198. Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique
  199. Coagulation modeling using artificial neural networks to predict both turbidity and DOM-PARAFAC component removal
  200. Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures
  201. Optimization of retaining wall design using recent swarm intelligence techniques
  202. Assessment of artificial neural network and genetic programming as predictive tools
  203. AN INTRODUCTION OF KRILL HERD ALGORITHM FOR ENGINEERING OPTIMIZATION
  204. Development of prediction models for shear strength of SFRCB using a machine learning approach
  205. NEW DESIGN EQUATIONS FOR ELASTIC MODULUS OF CONCRETE USING MULTI EXPRESSION PROGRAMMING
  206. Optimum design of frame structures using the Eagle Strategy with Differential Evolution
  207. A hybrid method based on krill herd and quantum-behaved particle swarm optimization
  208. Ductility reduction factor and collapse mechanism evaluation of a new steel knee braced frame
  209. Solutions of Non-smooth Economic Dispatch Problems by Swarm Intelligence
  210. Reactive Power and Voltage Control Based on Mesh Adaptive Direct Search Algorithm
  211. Boundary Constraint Handling Affection on Slope Stability Analysis
  212. Handbook of Genetic Programming Applications
  213. Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
  214. Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
  215. Engineering optimization using interior search algorithm
  216. Coupled SelfSim and genetic programming for non-linear material constitutive modelling
  217. A novel improved accelerated particle swarm optimization algorithm for global numerical optimization
  218. A Novel Cuckoo Search with Chaos Theory and Elitism Scheme
  219. A simple modelling approach for prediction of standard state real gas entropy of pure materials
  220. A new improved krill herd algorithm for global numerical optimization
  221. Chaotic Krill Herd algorithm
  222. Interior search algorithm (ISA): A novel approach for global optimization
  223. Slope stability analyzing using recent swarm intelligence techniques
  224. Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
  225. Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
  226. An effective krill herd algorithm with migration operator in biogeography-based optimization
  227. Seismic Response Prediction of Self-Centering, Concentrically-Braced Frames Using Genetic Programming
  228. Chaotic bat algorithm
  229. Stud krill herd algorithm
  230. Advances of Artificial Intelligence in Mechanical Engineering
  231. Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete
  232. Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming
  233. Genetic programming for moment capacity modeling of ferrocement members
  234. Hybrid krill herd algorithm with differential evolution for global numerical optimization
  235. An empirical model for shear capacity of RC deep beams using genetic-simulated annealing
  236. A chaotic particle-swarm krill herd algorithm for global numerical optimization
  237. Stress sensing performance using mechanoluminescence of SrAl2O4:Eu (SAOE) and SrAl2O4:Eu, Dy (SAOED) under mechanical loadings
  238. An evolutionary approach for modeling of shear strength of RC deep beams
  239. An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames
  240. Chaos-enhanced accelerated particle swarm optimization
  241. Preface
  242. Metaheuristic Algorithms in Modeling and Optimization
  243. Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming
  244. Structural Optimization Using Krill Herd Algorithm
  245. Expression Programming Techniques for Formulation of Structural Engineering Systems
  246. A Review on Traditional and Modern Structural Optimization
  247. Firefly algorithm with chaos
  248. Decision Tree Approach for Soil Liquefaction Assessment
  249. Krill herd algorithm for optimum design of truss structures
  250. Lévy-Flight Krill Herd Algorithm
  251. Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems
  252. Metaheuristic Applications in Structures and Infrastructures
  253. Simulated Annealing-Based Krill Herd Algorithm for Global Optimization
  254. Swarm Intelligence and Bio-Inspired Computation
  255. Erratum to: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
  256. Krill herd: A new bio-inspired optimization algorithm
  257. Discussion on “Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structures” by Ismail Dinçer [Adv. Eng. Software 42 (2011) 160–171]
  258. Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems
  259. New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach
  260. Optimum design of tower structures using Firefly Algorithm
  261. Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure
  262. Novel Approach to Strength Modeling of Concrete under Triaxial Compression
  263. Bat algorithm for constrained optimization tasks
  264. A multi-stage particle swarm for optimum design of truss structures
  265. Bat algorithm: a novel approach for global engineering optimization
  266. Evolutionary boundary constraint handling scheme
  267. Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials
  268. Energy-based numerical models for assessment of soil liquefaction
  269. Design optimization of truss structures using cuckoo search algorithm
  270. Discussion on “Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods”
  271. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
  272. Imperialist competitive algorithm combined with chaos for global optimization
  273. A new predictive model for compressive strength of HPC using gene expression programming
  274. Formulation of secant and reloading soil deformation moduli using multi expression programming
  275. Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization
  276. A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil
  277. Determination of ultimate load and possible failure path for a rigid strip footing on soil partially supported by retaining wall using an adaptive refinement process
  278. Reply to Comments on “Empirical modelling of plate load test moduli of soil via gene expression programming” by Ali Mollahasani, Amir Hossein Alavi, Amir Hossein Gandomi [Computers and Geotechnics 38 (2011) 281–286]
  279. Mixed variable structural optimization using Firefly Algorithm
  280. Multi-stage genetic programming: A new strategy to nonlinear system modeling
  281. Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing
  282. A hybrid computational approach to formulate soil deformation moduli obtained from PLT
  283. Formulation of soil angle of shearing resistance using a hybrid GP and OLS method
  284. HYBRID GENETIC PROGRAMMING-BASED SEARCH ALGORITHMS FOR ENTERPRISE BANKRUPTCY PREDICTION
  285. Genetic-based modeling of uplift capacity of suction caissons
  286. A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
  287. A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems
  288. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
  289. A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method
  290. A hybrid computational approach to derive new ground-motion prediction equations
  291. Permanent deformation analysis of asphalt mixtures using soft computing techniques
  292. Nonlinear neural-based modeling of soil cohesion intercept
  293. New Ground-Motion Prediction Equations Using Multi Expression Programing
  294. A robust data mining approach for formulation of geotechnical engineering systems
  295. Formulation of flow number of asphalt mixes using a hybrid computational method
  296. Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures
  297. Empirical modeling of plate load test moduli of soil via gene expression programming
  298. Formulation of uplift capacity of suction caissons using multi expression programming
  299. Benchmark Problems in Structural Optimization
  300. Applications of Computational Intelligence in Behavior Simulation of Concrete Materials
  301. Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders
  302. A computational intelligence-based approach for short-term traffic flow prediction
  303. Short-term load forecasting of power systems by gene expression programming
  304. Discussion on “Soft computing approach for real-time estimation of missing wave heights” by S.N. Londhe [Ocean Engineering 35 (2008) 1080–1089]
  305. Discussion: Neural network – genetic programming for sediment transport
  306. WITHDRAWN: Discussion of “Combined heat and power economic dispatch by harmony search algorithm” by A. Vasebi et al., International Journal of Electrical Power and Energy Systems 29 (2007) 713–719
  307. Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks
  308. Comment on ‘Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628’
  309. Discussion of "Economic Load Dispatch A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"
  310. Discussion on “Predicting the shear strength of reinforced concrete beams using artificial neural networks” by M.Y. Mansour, M. Dicleli, J.Y. Lee, J. Zhang [Eng Struct 26 (2004) 781–799]
  311. New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming
  312. Multi expression programming: a new approach to formulation of soil classification
  313. Behavior appraisal of steel semi-rigid joints using Linear Genetic Programming
  314. Discussion on “Alternative data-driven methods to estimate wind from waves by inverse modeling” by Mansi Daga, M. C. Deo [Natural Hazards (2008) NHAZ 524, Article 9299, DOI 10.1007/s11069-008-9299-2]
  315. A Discussion on “Genetic programming for retrieving missing information in wave records along the west coast of India” [Applied Ocean Research 2007; 29 (3): 99–111]