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Managerial decisions to recover from Covid-19 disruption: A multi-objective optimization approach applied to public transport operators

Transportation engineering (Oxford), 2023-03, Vol.11, p.100163, Article 100163

2023

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Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics

Computer methods in applied mechanics and engineering, 2000-01, Vol.186 (2), p.403-420

2000

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Fluid-dynamic design optimization of hydraulic proportional directional valves

Engineering optimization, 2014-10, Vol.46 (10), p.1295-1314

2014

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An Integrated Methodology for the Multi-Objective Optimization of Port Railway Capacity: The Case Study of the Port of Trieste

Sustainability, 2021-10, Vol.13 (19), p.10490

2021

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Design and Optimization of a Gas Burner for TPV Application

Journal of Computational Science and Technology, 2013, Vol.7(2), pp.156-167

2013

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Space systems resilience optimisation under epistemic uncertainty

Acta astronautica, 2019-12, Vol.165, p.195-210

2019

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Parallel Problem Solving from Nature: PPSN X : 10th International Conference Dortmund, Germany, September 13-17, 2008 : Proceedings

2008 edition, 2008

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Algorithms for design optimization of chemistry of hard magnetic alloys using experimental data

Journal of alloys and compounds, 2016-10, Vol.682, p.454-467

2016

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Operative Protocol for Testing the Efficacy of Nasal Filters in Preventing Airborne Transmission of SARS-CoV-2

International journal of environmental research and public health, 2022-10, Vol.19 (21), p.13790

2022

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Multi-fidelity design optimisation strategy under uncertainty with limited computational budget

Optimization and engineering, 2021-06, Vol.22 (2), p.1039-1064

2021

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Prediction of geometric uncertainty effects on Fluid Dynamics by Polynomial Chaos and Fictitious Domain method

Computers & fluids, 2010, Vol.39 (1), p.137-151

2010

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Integration of BPMN Modeling and Multi-actor AHP-aided Evaluation to Improve Port Rail Operations

Transportation research procedia (Online), 2021, Vol.52, p.139-146

2021

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A New Multi-objective Solution Approach Using ModeFRONTIER and OpenTrack for Energy-Efficient Train Timetabling Problem

Computation and Big Data for Transport, p.103-119

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Integrating Multibody Simulation and CFD: toward Complex Multidisciplinary Design Optimization

JSME International Journal Series B Fluids and Thermal Engineering, 2005, Vol.48(2), pp.224-228

2005

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Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007 : Proceedings

2007 edition., 2007

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Self-organizing maps for pattern recognition in design of alloys

Materials and manufacturing processes, 2017-07, Vol.32 (10), p.1067-1074

2017

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Hybrid Flow Shop Management: Multi Objective Optimisation

Procedia CIRP, 2017, Vol.62, p.147-152

2017

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Preface

2015 IEEE Congress on Evolutionary Computation (CEC), 2015, p.1-1

2015

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IEEE_Xplore

Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor

International Journal of Rotating Machinery, 2005-01, Vol.2005 (2), p.143-151

2005

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An integrated approach for optimal design of micro gas turbine combustors

Journal of thermal science, 2009-06, Vol.18 (2), p.173-184

2009

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Digital Technologies for Transport and Mobility: Challenges, Trends and Perspectives

Computation and Big Data for Transport, p.3-16

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Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization

Evolutionary Multi-Criterion Optimization, p.619-632

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Design of Kaplan runner using multiobjective genetic algorithm optimizationDesign of Kaplan runner using multiobjective genetic algorithm optimization

Journal of hydraulic research, 2000-01, Vol.38 (1), p.73-79

2000

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Design of Kaplan runner using multiobjective genetic algorithm optimization

Journal of hydraulic research, 2000, Vol.38 (1), p.73-79

2000

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Response Surface Methodology

Optimization Under Uncertainty with Applications to Aerospace Engineering, 2021, p.387-409

Vasile, Massimiliano

2021

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Managerial decisions to recover from Covid-19 disruption: A multi-objective optimization approach applied to public transport operators

Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics

Fluid-dynamic design optimization of hydraulic proportional directional valves

An Integrated Methodology for the Multi-Objective Optimization of Port Railway Capacity: The Case Study of the Port of Trieste

Design and Optimization of a Gas Burner for TPV Application

Space systems resilience optimisation under epistemic uncertainty

Parallel Problem Solving from Nature: PPSN X : 10th International Conference Dortmund, Germany, September 13-17, 2008 : Proceedings

Algorithms for design optimization of chemistry of hard magnetic alloys using experimental data

Operative Protocol for Testing the Efficacy of Nasal Filters in Preventing Airborne Transmission of SARS-CoV-2

Multi-fidelity design optimisation strategy under uncertainty with limited computational budget

Prediction of geometric uncertainty effects on Fluid Dynamics by Polynomial Chaos and Fictitious Domain method

Integration of BPMN Modeling and Multi-actor AHP-aided Evaluation to Improve Port Rail Operations

A New Multi-objective Solution Approach Using ModeFRONTIER and OpenTrack for Energy-Efficient Train Timetabling Problem

Integrating Multibody Simulation and CFD: toward Complex Multidisciplinary Design Optimization

Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007 : Proceedings

Self-organizing maps for pattern recognition in design of alloys

Hybrid Flow Shop Management: Multi Objective Optimisation

Preface

Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor

An integrated approach for optimal design of micro gas turbine combustors

Digital Technologies for Transport and Mobility: Challenges, Trends and Perspectives

Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization

Design of Kaplan runner using multiobjective genetic algorithm optimizationDesign of Kaplan runner using multiobjective genetic algorithm optimization

Design of Kaplan runner using multiobjective genetic algorithm optimization

Response Surface Methodology

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