Nikos D. Lagaros mainly focuses on Optimization problem, Mathematical optimization, Artificial neural network, Structural system and Algorithm. His studies examine the connections between Optimization problem and genetics, as well as such issues in Finite element method, with regards to Discretization and Size effect on structural strength. His work on Multi-objective optimization, Evolutionary algorithm and Engineering optimization as part of general Mathematical optimization research is frequently linked to Imperfect and Structure, bridging the gap between disciplines.
His study looks at the relationship between Artificial neural network and topics such as Robustness, which overlap with Probabilistic-based design optimization and Steel structures. Nikos D. Lagaros combines subjects such as Earthquake engineering, Reliability engineering, Probabilistic logic, Simulation and Seismic analysis with his study of Structural system. His Algorithm research integrates issues from Data mining, Probability of failure and Importance sampling.
Structural engineering, Optimization problem, Mathematical optimization, Seismic analysis and Artificial neural network are his primary areas of study. His study in the fields of Structural system, Incremental Dynamic Analysis, Reinforced concrete and Seismic loading under the domain of Structural engineering overlaps with other disciplines such as Life-cycle cost analysis. His research in Optimization problem focuses on subjects like Finite element method, which are connected to Probabilistic logic.
His Mathematical optimization study frequently links to adjacent areas such as Robustness. His Seismic analysis research incorporates themes from Reliability engineering, Earthquake engineering and Nonlinear system. The Artificial neural network study combines topics in areas such as Algorithm, Reduction and Data mining.
The scientist’s investigation covers issues in Topology optimization, Structural system, Structural engineering, Finite element method and Optimization problem. His Topology optimization study also includes fields such as
His Arch and Reinforced concrete study in the realm of Structural engineering connects with subjects such as Eccentricity, Plane and Context. The study incorporates disciplines such as Steel tube, Composite material and Rotor in addition to Finite element method. In his research, Optimization algorithm, Set and Eigen frequency is intimately related to Software, which falls under the overarching field of Optimization problem.
Nikos D. Lagaros mainly investigates Topology optimization, Structural system, Benchmark, Optimization problem and Artificial intelligence. His Structural system research is multidisciplinary, incorporating elements of Commercial software and Application programming interface. His biological study spans a wide range of topics, including Tower, Structural engineering, Buckling, Turbine and Rotor.
His Artificial intelligence study integrates concerns from other disciplines, such as Algorithm and Reduction. Algorithm is closely attributed to Finite element method in his study. His Reduction study combines topics from a wide range of disciplines, such as Artificial neural network, Representation, Computational model, Nonlinear system and Pattern recognition.
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Reliability-based structural optimization using neural networks and Monte Carlo simulation
Manolis Papadrakakis;Nikos D Lagaros.
Computer Methods in Applied Mechanics and Engineering (2002)
Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation
Manolis Papadrakakis;Vissarion Papadopoulos;Nikos D. Lagaros.
Computer Methods in Applied Mechanics and Engineering (1996)
Structural optimization using evolution strategies and neural networks
Manolis Papadrakakis;Nikos D. Lagaros;Yiannis Tsompanakis.
Computer Methods in Applied Mechanics and Engineering (1998)
Accelerated subset simulation with neural networks for reliability analysis
Vissarion Papadopoulos;Dimitris G. Giovanis;Nikos D. Lagaros;Manolis Papadrakakis.
Computer Methods in Applied Mechanics and Engineering (2012)
Performance-based multiobjective optimum design of steel structures considering life-cycle cost
Michalis Fragiadakis;Nikos D. Lagaros;Manolis Papadrakakis.
Structural and Multidisciplinary Optimization (2006)
Life-cycle cost assessment of optimally designed reinforced concrete buildings under seismic actions
Chara Ch. Mitropoulou;Nikos D. Lagaros;Manolis Papadrakakis.
Reliability Engineering & System Safety (2011)
An overview to structural seismic design optimisation frameworks
Michalis Fragiadakis;Nikos D. Lagaros.
Computers & Structures (2011)
Design optimization of steel structures considering uncertainties
M. Papadrakakis;N.D. Lagaros;V. Plevris.
Engineering Structures (2005)
Neural network based prediction schemes of the non-linear seismic response of 3D buildings
Nikos D. Lagaros;Manolis Papadrakakis.
Advances in Engineering Software (2012)
Multicomponent incremental dynamic analysis considering variable incident angle
Nikos D. Lagaros.
Structure and Infrastructure Engineering (2010)
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