about
A simple modelling approach for prediction of standard state real gas entropy of pure materials.Interior search algorithm (ISA): a novel approach for global optimization.Decision tree approach for soil liquefaction assessment.Krill herd: A new bio-inspired optimization algorithmMixed variable structural optimization using Firefly AlgorithmOptimum design of frame structures using the Eagle Strategy with Differential EvolutionMulti-stage optimization of a deep model: A case study on ground motion modelingA novel improved accelerated particle swarm optimization algorithm for global numerical optimizationAn innovative approach for modeling of hysteretic energy demand in steel moment resisting framesImperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopesOptimum design of tower structures using Firefly AlgorithmA Review on Traditional and Modern Structural OptimizationA chaotic particle-swarm krill herd algorithm for global numerical optimizationAn evolutionary approach for modeling of shear strength of RC deep beamsChaos-enhanced accelerated particle swarm optimizationCuckoo search algorithm: a metaheuristic approach to solve structural optimization problemsErratum to: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problemsDesign equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systemsDesign optimization of truss structures using cuckoo search algorithmExpression Programming Techniques for Formulation of Structural Engineering SystemsFormulation of soil angle of shearing resistance using a hybrid GP and OLS methodIntelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression ProgrammingKrill herd algorithm for optimum design of truss structuresLévy-Flight Krill Herd AlgorithmLinear and Tree-Based Genetic Programming for Solving Geotechnical Engineering ProblemsMetaheuristic Algorithms in Modeling and OptimizationMulti-expression programming based model for prediction of formation enthalpies of nitro-energetic materialsNew design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approachPrefaceSimulated Annealing-Based Krill Herd Algorithm for Global OptimizationStress sensing performance using mechanoluminescence of SrAl2O4:Eu (SAOE) and SrAl2O4:Eu, Dy (SAOED) under mechanical loadingsStructural Optimization Using Krill Herd AlgorithmA computational intelligence-based approach for short-term traffic flow predictionA Genetic Programming-Based Approach for the Performance Characteristics Assessment of Stabilized SoilA new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problemsA new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problemsA new predictive model for compressive strength of HPC using gene expression programmingBat algorithm: a novel approach for global engineering optimizationCoupled eagle strategy and differential evolution for unconstrained and constrained global optimizationDetermination of ultimate load and possible failure path for a rigid strip footing on soil partially supported by retaining wall using an adaptive refinement process
P50
Q51049817-FAFA0956-1891-4986-9417-98057ED3C28FQ51090663-44A04DEC-167E-4575-BEA0-F5B8D450438DQ54318053-81DAD35F-60FB-45E0-861A-DFF3D83CF302Q55893023-5C55DFED-E3A8-46AD-8CF2-6AC84FF057F9Q56828000-BB0E35DC-FE06-486E-8255-D55A61EB899EQ56919597-6F0DD6A3-D2C3-466C-8B99-9A5F08B47D11Q57092636-B19ED797-A7A5-4403-87BB-0C30C2C6F466Q57691440-62F31133-72E1-4936-8AA8-21F133378166Q57691450-E39D5E27-0C46-45F6-8D97-078D1AA82ED3Q57691464-1EA44DC5-53CA-4E44-8D92-330C41C12CEAQ57691468-8A686367-E1C9-4A7B-A8A1-394100115C56Q57691484-C3B2F8DB-69AD-4341-B851-C8B872AA28CDQ57691487-06DDE97F-F57C-44B0-8F10-7A1851BFF219Q57691497-447A9899-1EAE-49E6-8031-19982BDB9BD4Q57691500-4DA9AD91-F376-44AC-8A6C-5A971B577445Q57691503-D651B3B6-84F9-4F62-8051-C5A9F4135166Q57691506-60BAB586-CB59-4316-AB9D-16697D0DAE89Q57691512-D3D431D4-B06C-4802-9F46-06CA0A5286BCQ57691524-3EAA6694-CF26-468A-A055-D11596DC5294Q57691533-ACA9B2DA-7AF6-4EEC-90A0-C2754D8824EDQ57691544-6792ED2C-F76C-4A15-A780-7EF4A1FCD6E5Q57691557-135D4467-27D4-48A3-B222-D8C83299A2DBQ57691562-0C10B9CD-F0B6-41A3-A749-FD4AA58A160FQ57691570-DC5D4D80-71E5-46D0-8C0C-8177E22372F2Q57691572-1D4ABF73-7279-4214-90F9-32DA6E624509Q57691584-5C2CBE71-6F48-4682-87B0-6391DC32F1EEQ57691586-852BAF22-6474-4DCC-93D4-2F8959615CC1Q57691589-BAF9E7D2-E98F-40B9-B9A1-4031AD21DACAQ57691594-90D39AFD-14D3-4D05-94C0-AD9D8B164ABFQ57691597-C83E9447-0D3A-49AD-A7FE-691EA6FEDE7EQ57691600-7141D682-BC08-4EBF-A1A9-FBD0A3B33048Q57691601-FCC9E0B5-A58F-4230-822F-5E42931714B8Q57691603-0F333724-A4A5-4BDA-8DE3-0F5E0CC39CD6Q57691606-7DEFBDB1-6F8C-4415-9467-ADE6A0D7C510Q57691608-98562001-A30B-4D20-ADBE-60C5C7F891A1Q57691610-A2981C0C-0686-4EC9-90CE-CCB76DF4E034Q57691614-66FE715A-B646-4A45-BD8F-4C0720047B00Q57691618-BB8B98CD-664A-459A-BB77-DA2113BF341BQ57691623-CE820241-FD62-4A31-B6C3-304DC8475661Q57691626-AB315D4F-37ED-4AD8-933D-B9A5F2DE39E5
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Amir Gandomi
@ast
Amir Gandomi
@en
Amir Gandomi
@es
Amir Gandomi
@nl
type
label
Amir Gandomi
@ast
Amir Gandomi
@en
Amir Gandomi
@es
Amir Gandomi
@nl
prefLabel
Amir Gandomi
@ast
Amir Gandomi
@en
Amir Gandomi
@es
Amir Gandomi
@nl
P108
P1053
J-7595-2013
P106
P1153
26421192100
P1960
VMf3wfMAAAAJ
P21
P2456
P31
P3829
P496
0000-0002-2798-0104