All Stories

  1. Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances
  2. Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
  3. Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming
  4. Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence
  5. A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems
  6. Framework for Healthy/Hemorrhagic Brain Condition Detection using CT Scan Images
  7. Evolutionary Machine Learning: A Survey
  8. GECCO 2022#
  9. A Review on Osmotic Computing
  10. Understanding the Effects of Ant Algorithms on Path Planning with Gain-Ant Colony Optimization
  11. N-Gram-Based Machine Learning Approach for Bot or Human Detection from Text Messages
  12. Experimental and numerical investigation of multi-layer flood wave propagation over bumpy downstream
  13. Prediction error of Johansen cointegration residuals for structural health monitoring
  14. RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
  15. A hybrid evolutionary algorithm for stability analysis of 2-area multi-non-conventional system with communication delay and energy storage
  16. A self-adaptive hybridized differential evolution naked mole-rat algorithm for engineering optimization problems
  17. Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
  18. Prediction of seismic damage spectra using computational intelligence methods
  19. A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks
  20. Groundwater sustainability: Developing a non-cooperative optimal management scenario in shared groundwater resources under water bankruptcy conditions
  21. Cyberstalking Victimization Model Using Criminological Theory: A Systematic Literature Review, Taxonomies, Applications, Tools, and Validations
  22. Structural damage identification under non-linear EOV effects using genetic programming
  23. An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling
  24. Population-based optimization in structural engineering: a review
  25. A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
  26. Erratum for “Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems” by Subhrajit Dutta and Amir H. Gandomi
  27. Spectral acceleration prediction using genetic programming based approaches
  28. Aquila Optimizer: A novel meta-heuristic optimization algorithm
  29. Investigating bound handling schemes and parameter settings for the interior search algorithm to solve truss problems
  30. Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
  31. Case Study for Quantifying Flood Resilience of Interdependent Building–Roadway Infrastructure Systems
  32. Genetic programming to formulate viscoelastic behavior of modified asphalt binder
  33. MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction
  34. Correction to “SDCF: A Software-Defined Cyber Foraging Framework for Cloudlet Environment”
  35. Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things
  36. Double-hierarchy hesitant fuzzy linguistic information-based framework for green supplier selection with partial weight information
  37. Improved NSGA-III with Second-Order Difference Random Strategy for Dynamic Multi-Objective Optimization
  38. Material Generation Algorithm: A Novel Metaheuristic Algorithm for Optimization of Engineering Problems
  39. Assessment of cloud vendors using interval‐valued probabilistic linguistic information and unknown weights
  40. The Colony Predation Algorithm
  41. Application of mutation operators to salp swarm algorithm
  42. A Prediction Model for the Calculation of Effective Stiffness Ratios of Reinforced Concrete Columns
  43. A baseline-free damage detection method using VBI incomplete measurement data
  44. The Arithmetic Optimization Algorithm
  45. CH Selection via Adaptive Threshold Design Aligned on Network Energy
  46. Evaluation of the Mechanical Properties of Normal Concrete Containing Nano-MgO under Freeze–Thaw Conditions by Evolutionary Intelligence
  47. Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics
  48. Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases
  49. Improved salient object detection using hybrid Convolution Recurrent Neural Network
  50. Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data
  51. A Survey of Learning-Based Intelligent Optimization Algorithms
  52. Big Data
  53. A decision framework under probabilistic hesitant fuzzy environment with probability estimation for multi-criteria decision making
  54. A review on COVID-19 forecasting models
  55. Introduction of ABCEP as an automatic programming method
  56. Self adaptive cuckoo search: Analysis and experimentation
  57. Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks
  58. A Comparison of Constraint Handling Techniques on NSGA-II
  59. Addressing Security and Privacy Issues of IoT Using Blockchain Technology
  60. Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering
  61. Authentication and Key Management in Distributed IoT using Blockchain Technology
  62. Ensemble Classification and IoT Based Pattern Recognition for Crop Disease Monitoring System
  63. Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring
  64. Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data
  65. Towards Precision Agriculture: IoT-enabled Intelligent Irrigation Systems Using Deep Learning Neural Network
  66. Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data
  67. Solving renewable energy source selection problems using a q-rung orthopair fuzzy-based integrated decision-making approach
  68. A neural network to predict spectral acceleration
  69. Artificial Intelligence Applied to Stock Market Trading: A Review
  70. Improvement of shear strength of cohesive soils by additives: A review
  71. Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
  72. A progressive hedging approach for large-scale pavement maintenance scheduling under uncertainty
  73. Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
  74. Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence
  75. Machine Learning Inspired Phishing Detection (PD) for Efficient Classification and Secure Storage Distribution (SSD) for Cloud-IoT Application
  76. An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities
  77. An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals
  78. Financial time-series analysis of Brazilian stock market using machine learning
  79. Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information
  80. SDCF: A Software-Defined Cyber Foraging Framework for Cloudlet Environment
  81. Particle Swarm Optimization Variants for Solving Geotechnical Problems: Review and Comparative Analysis
  82. Lightning search algorithm: a comprehensive survey
  83. A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection
  84. Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems
  85. COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features
  86. Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries
  87. Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
  88. Optimization of Routing-Based Clustering Approaches in Wireless Sensor Network: Review and Open Research Issues
  89. Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
  90. Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19
  91. Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network
  92. Multiobjective genetic programming for reinforced concrete beam modeling
  93. Structural health monitoring of railway tracks using IoT-based multi-robot system
  94. R-CNN and wavelet feature extraction for hand gesture recognition with EMG signals
  95. Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming
  96. Machine learning-based left ventricular hypertrophy detection using multi-lead ECG signal
  97. Marine Predators Algorithm: A nature-inspired metaheuristic
  98. Interval-valued probabilistic hesitant fuzzy set-based framework for group decision-making with unknown weight information
  99. Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems
  100. Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure
  101. A survey of evolutionary computation for association rule mining
  102. Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
  103. Improving End-Users Utility in Software-Defined Wide Area Network Systems
  104. Surface altering optimisation in slope stability analysis with non-circular failure for random limit equilibrium method
  105. A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling
  106. The Revolution of Blockchain: State-of-the-Art and Research Challenges
  107. Implicit constraints handling for efficient search of feasible solutions
  108. Detection and isolation of black hole attack in mobile ad hoc networks - a review
  109. 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
  110. Advanced Ant Colony Optimization in Healthcare Scheduling
  111. Evolutionary Computation in Scheduling
  112. A Technical Survey on Intelligent Optimization Grouping Algorithms for Finite State Automata in Deep Packet Inspection
  113. Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks
  114. Pavement maintenance and rehabilitation planning optimisation under budget and pavement deterioration uncertainty
  115. Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony
  116. Loading rate effect on fracture behavior of fiber reinforced high strength concrete using a semi-circular bending test
  117. Evolutionary Many-Objective Algorithms for Combinatorial Optimization Problems: A Comparative Study
  118. Hash polynomial two factor decision tree using IoT for smart health care scheduling
  119. Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors
  120. An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement
  121. Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization
  122. Consolidation assessment using Multi Expression Programming
  123. I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring
  124. Securing Data in Internet of Things (IoT) Using Cryptography and Steganography Techniques
  125. A New Pythagorean Fuzzy Based Decision Framework for Assessing Healthcare Waste Treatment
  126. A WiVi Based IoT Framework for Detection of Human Trafficking Victims Kept in Hideouts
  127. Computational intelligence for modeling of asphalt pavement surface distress
  128. Computational intelligence for modeling of pavement surface characteristics
  129. Design of experiments for uncertainty quantification based on polynomial chaos expansion metamodels
  130. Probabilistic neural networks
  131. Surrogate Model-Driven Evolutionary Algorithms: Theory and Applications
  132. Guest Editorial Nature-Inspired Approaches for IoT and Big Data
  133. A Shannon entropy approach for structural damage identification based on self-powered sensor data
  134. CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
  135. Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
  136. Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
  137. Personalised modelling with spiking neural networks integrating temporal and static information
  138. Software review: the GPTIPS platform
  139. Solving Incremental Optimization Problems via Cooperative Coevolution
  140. Optimum design of shallow foundation using evolutionary algorithms
  141. A deep neural network based classifier for brain tumor diagnosis
  142. Assistive pointer device for limb impaired people: A novel Frontier Point Method for hand movement recognition
  143. Multi-objective heat transfer search algorithm for truss optimization
  144. Structural optimization using multi-objective modified adaptive symbiotic organisms search
  145. Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)
  146. Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application
  147. Optimum design of reinforced earth walls using evolutionary optimization algorithms
  148. A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi
  149. Big data analytics in medical imaging using deep learning
  150. A hybrid computational intelligence approach to predict spectral acceleration
  151. Using semi-independent variables to enhance optimization search
  152. Classification of stroke disease using machine learning algorithms
  153. Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach
  154. Duo-Stage Decision: A Framework for Filling Missing Values, Consistency Check, and Repair of Decision Matrices in Multicriteria Group Decision Making
  155. Robust Defense Scheme Against Selective Drop Attack in Wireless Ad Hoc Networks
  156. Securing e-health records using keyless signature infrastructure blockchain technology in the cloud
  157. A hybrid computational approach for seismic energy demand prediction
  158. Multi-stage optimization of a deep model: A case study on ground motion modeling
  159. Metaheuristics in Reliability and Risk Analysis
  160. Genetic programming for soil-fiber composite assessment
  161. Deep Learning in Medical Imaging
  162. A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction
  163. An Evolutionary Online Framework for MOOC Performance Using EEG Data
  164. Probabilistic evolutionary bound constraint handling for particle swarm optimization
  165. A scalable communication abstraction framework for internet of things applications using Raspberry Pi
  166. Parameter-less population pyramid for large-scale tower optimization
  167. Construction Cost Minimization of Shallow Foundation Using Recent Swarm Intelligence Techniques
  168. Building energy consumption forecast using multi-objective genetic programming
  169. An input–output damage detection method using static equivalent formulation of dynamic vibration
  170. Automating pseudo-static analysis of concrete cantilever retaining wall using evolutionary algorithms
  171. Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
  172. Genetic Programming Based on Error Decomposition: A Big Data Approach
  173. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
  174. Constrained mean-variance mapping optimization for truss optimization problems
  175. A novel hybridization strategy for krill herd algorithm applied to clustering techniques
  176. The Bat Algorithm, Variants and Some Practical Engineering Applications: A Review
  177. Reliability-Based Multiobjective Design Optimization of Reinforced Concrete Bridges Considering Corrosion Effect
  178. New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach
  179. High Performance GP-Based Approach for fMRI Big Data Classification
  180. Big data in civil engineering
  181. A comprehensive review of krill herd algorithm: variants, hybrids and applications
  182. An evolutionary approach for fMRI big data classification
  183. Seismic Failure Probability and Vulnerability Assessment of Steel-Concrete Composite Structures
  184. Chaotic gravitational constants for the gravitational search algorithm
  185. Retaining wall optimization using interior search algorithm with different bound constraint handling
  186. Gene expression programming approach to cost estimation formulation for utility projects
  187. Adaptive Krill Herd Algorithm for Global Numerical Optimization
  188. Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement
  189. New formulations for mechanical properties of recycled aggregate concrete using gene expression programming
  190. Optimal adjustment of ACI formula for shrinkage of concrete containing pozzolans
  191. New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach
  192. Evolutionary bound constraint handling for particle swarm optimization
  193. Optimization of retaining wall design using evolutionary algorithms
  194. Slope stability analysis using evolutionary optimization techniques
  195. Risk analysis of BOT contracts using soft computing
  196. A hybrid damage detection method using dynamic-reduction transformation matrix and modal force error
  197. Opposition-based krill herd algorithm with Cauchy mutation and position clamping
  198. A new hybrid method based on krill herd and cuckoo search for global optimisation tasks
  199. Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems
  200. Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes
  201. Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique
  202. Coagulation modeling using artificial neural networks to predict both turbidity and DOM-PARAFAC component removal
  203. Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures
  204. Optimization of retaining wall design using recent swarm intelligence techniques
  205. Assessment of artificial neural network and genetic programming as predictive tools
  206. AN INTRODUCTION OF KRILL HERD ALGORITHM FOR ENGINEERING OPTIMIZATION
  207. Development of prediction models for shear strength of SFRCB using a machine learning approach
  208. NEW DESIGN EQUATIONS FOR ELASTIC MODULUS OF CONCRETE USING MULTI EXPRESSION PROGRAMMING
  209. Optimum design of frame structures using the Eagle Strategy with Differential Evolution
  210. A hybrid method based on krill herd and quantum-behaved particle swarm optimization
  211. Ductility reduction factor and collapse mechanism evaluation of a new steel knee braced frame
  212. Solutions of Non-smooth Economic Dispatch Problems by Swarm Intelligence
  213. Reactive Power and Voltage Control Based on Mesh Adaptive Direct Search Algorithm
  214. Boundary Constraint Handling Affection on Slope Stability Analysis
  215. Handbook of Genetic Programming Applications
  216. Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
  217. Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
  218. Engineering optimization using interior search algorithm
  219. Coupled SelfSim and genetic programming for non-linear material constitutive modelling
  220. A novel improved accelerated particle swarm optimization algorithm for global numerical optimization
  221. A Novel Cuckoo Search with Chaos Theory and Elitism Scheme
  222. A simple modelling approach for prediction of standard state real gas entropy of pure materials
  223. A new improved krill herd algorithm for global numerical optimization
  224. Chaotic Krill Herd algorithm
  225. Interior search algorithm (ISA): A novel approach for global optimization
  226. Slope stability analyzing using recent swarm intelligence techniques
  227. Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
  228. Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
  229. An effective krill herd algorithm with migration operator in biogeography-based optimization
  230. Seismic Response Prediction of Self-Centering, Concentrically-Braced Frames Using Genetic Programming
  231. Chaotic bat algorithm
  232. Stud krill herd algorithm
  233. Advances of Artificial Intelligence in Mechanical Engineering
  234. Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete
  235. Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming
  236. Genetic programming for moment capacity modeling of ferrocement members
  237. Hybrid krill herd algorithm with differential evolution for global numerical optimization
  238. An empirical model for shear capacity of RC deep beams using genetic-simulated annealing
  239. A chaotic particle-swarm krill herd algorithm for global numerical optimization
  240. Stress sensing performance using mechanoluminescence of SrAl2O4:Eu (SAOE) and SrAl2O4:Eu, Dy (SAOED) under mechanical loadings
  241. An evolutionary approach for modeling of shear strength of RC deep beams
  242. An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames
  243. Chaos-enhanced accelerated particle swarm optimization
  244. Preface
  245. Metaheuristic Algorithms in Modeling and Optimization
  246. Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming
  247. Structural Optimization Using Krill Herd Algorithm
  248. Expression Programming Techniques for Formulation of Structural Engineering Systems
  249. A Review on Traditional and Modern Structural Optimization
  250. Firefly algorithm with chaos
  251. Decision Tree Approach for Soil Liquefaction Assessment
  252. Krill herd algorithm for optimum design of truss structures
  253. Lévy-Flight Krill Herd Algorithm
  254. Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems
  255. Metaheuristic Applications in Structures and Infrastructures
  256. Simulated Annealing-Based Krill Herd Algorithm for Global Optimization
  257. Swarm Intelligence and Bio-Inspired Computation
  258. Erratum to: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
  259. Krill herd: A new bio-inspired optimization algorithm
  260. 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]
  261. Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems
  262. New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach
  263. Optimum design of tower structures using Firefly Algorithm
  264. Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure
  265. Novel Approach to Strength Modeling of Concrete under Triaxial Compression
  266. Bat algorithm for constrained optimization tasks
  267. A multi-stage particle swarm for optimum design of truss structures
  268. Bat algorithm: a novel approach for global engineering optimization
  269. Evolutionary boundary constraint handling scheme
  270. Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials
  271. Energy-based numerical models for assessment of soil liquefaction
  272. Design optimization of truss structures using cuckoo search algorithm
  273. Discussion on “Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods”
  274. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
  275. Imperialist competitive algorithm combined with chaos for global optimization
  276. A new predictive model for compressive strength of HPC using gene expression programming
  277. Formulation of secant and reloading soil deformation moduli using multi expression programming
  278. Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization
  279. A Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized Soil
  280. 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
  281. 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]
  282. Mixed variable structural optimization using Firefly Algorithm
  283. Multi-stage genetic programming: A new strategy to nonlinear system modeling
  284. Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing
  285. A hybrid computational approach to formulate soil deformation moduli obtained from PLT
  286. Formulation of soil angle of shearing resistance using a hybrid GP and OLS method
  287. HYBRID GENETIC PROGRAMMING-BASED SEARCH ALGORITHMS FOR ENTERPRISE BANKRUPTCY PREDICTION
  288. Genetic-based modeling of uplift capacity of suction caissons
  289. A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
  290. A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems
  291. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
  292. A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method
  293. A hybrid computational approach to derive new ground-motion prediction equations
  294. Permanent deformation analysis of asphalt mixtures using soft computing techniques
  295. Nonlinear neural-based modeling of soil cohesion intercept
  296. New Ground-Motion Prediction Equations Using Multi Expression Programing
  297. A robust data mining approach for formulation of geotechnical engineering systems
  298. Formulation of flow number of asphalt mixes using a hybrid computational method
  299. Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures
  300. Empirical modeling of plate load test moduli of soil via gene expression programming
  301. Formulation of uplift capacity of suction caissons using multi expression programming
  302. Benchmark Problems in Structural Optimization
  303. Applications of Computational Intelligence in Behavior Simulation of Concrete Materials
  304. Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders
  305. A computational intelligence-based approach for short-term traffic flow prediction
  306. Short-term load forecasting of power systems by gene expression programming
  307. Discussion on “Soft computing approach for real-time estimation of missing wave heights” by S.N. Londhe [Ocean Engineering 35 (2008) 1080–1089]
  308. Discussion: Neural network – genetic programming for sediment transport
  309. 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
  310. Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks
  311. Comment on ‘Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623-628’
  312. Discussion of "Economic Load Dispatch A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"
  313. 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]
  314. New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming
  315. Multi expression programming: a new approach to formulation of soil classification
  316. Behavior appraisal of steel semi-rigid joints using Linear Genetic Programming
  317. 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]
  318. 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]