World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
7757
World Ranking
7927
National Ranking
192

Overview

Jacques Periaux is affiliated with the International Center for Numerical Methods in Engineering in Spain. Their research spans various fields related to engineering and computer science, focusing on computational methods and optimization techniques.

The scientist's main fields of study include:

  • Engineering
  • Computer Science

Within these fields, Periaux's work covers several subfields with a strong emphasis on computational approaches and engineering applications. These subfields include:

  • Computational Mechanics
  • Aerospace Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Mechanical Engineering

Their research interests focus on optimization algorithms and fluid dynamics as indicated by the main topics of work:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Computational Fluid Dynamics and Aerodynamics
  • Heat Transfer and Optimization
  • Building Energy and Comfort Optimization
  • Fluid Dynamics and Turbulent Flows
  • Turbomachinery Performance and Optimization

Periaux has contributed to the scientific literature through both journal articles and book publications. One recent paper includes:

  • "An Efficient Hybrid Evolutionary Optimization Method Coupling Cultural Algorithm with Genetic Algorithms and Its Application to Aerodynamic Shape Design" (2022), published in Applied Sciences

In addition to articles, Periaux has authored and contributed to books published by Springer Nature in the Netherlands. The book titles and publication years include:

  • Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences (2020)
  • Computation and Big Data for Transport (2020)
  • Advances in Computational Methods and Technologies in Aeronautics and Industry (2022)

Frequent collaborators provide insight into Periaux's research network. Regular co-authors include:

  • Tero Tuovinen
  • Zhili Tang
  • Pedro Dı́ez
  • Pekka Neittaanmäki
  • Dietrich Knoerzer

The scientist's publication activities are primarily recorded in the journal Applied Sciences, where they have multiple publications.

Best Publications

  • A fictitious domain approach to the direct numerical simulation of incompressible viscous flow past moving rigid bodies: application to particulate flow

    R. Glowinski;T. W. Pan;T. I. Helsa;D. D. Joseph

  • A fictitious domain method for Dirichlet problem and applications

    Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • Numerical methods for the navier-stokes equations. Applications to the simulation of compressible and incompressible viscous flows

    M.O. Bristeau;R. Glowinski;J. Periaux

  • A fictitious domain method for external incompressible viscous flow modeled by Navier-Stokes equations

    Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • Active Control and Drag Optimization for Flow Past a Circular Cylinder

    J.-W. He;R. Glowinski;R. Metcalfe;A. Nordlander

  • Domain decomposition methods for nonlinear problems in fluid dynamics

    R. Glowinski;Q.V. Dinh;J. Periaux

  • Distributed Lagrange multiplier methods for incompressible viscous flow around moving rigid bodies

    R. Glowinski;T.W. Pan;J. Périaux

  • Domain Decomposition Methods in Science and Engineering

    Alfio Quarteroni;Jacques Périaux;Yuri A. Kuznetsov;Olof B. Widlund

  • Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

    Unknown

  • A distributed Lagrange multiplier/fictitious domain method for flows around moving rigid bodies : Application to particulate flow

    Roland Glowinski;Roland Glowinski;Tsorng Whay Pan;Todd I. Hesla;Daniel D. Joseph

  • A distributed Lagrange multiplier/fictitious domain method for the simulation of flow around moving rigid bodies: application to particulate flow

    Roland Glowinski;Tsorng Whay Pan;Todd I. Hesla;Daniel D. Joseph

  • A Hierarchical Genetic Algorithm Using Multiple Models for Optimization

    Unknown

  • A Lagrange multiplier/fictitious domain method for the numerical simulation of incompressible viscous flow around moving rigid bodies: (I) case where the rigid body motions are known a priori

    Roland Glowinski;Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • On the numerical solution of nonlinear problems in fluid dynamics by least squares and finite element methods (II). Application to transonic flow simulations

    M.O. Bristeau;O. Pironneau;R. Glowinski;J. Périaux

  • SOLVING ELLIPTIC PROBLEMS BY DOMAIN DECOMPOSITION METHODS WTIH APPLICATIONS

    Q.V. Dihn;R. Glowinski;J. Périaux

  • Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems

    Unknown

  • Numerical simulation of compressible Navier-Stokes flows

    Marie Odile Bristeau;Roland Glowinski;Jacques Periaux;Henri Viviand

  • Numerical simulation and optimal shape for viscous flow by a fictitious domain method

    Roland Glowinski;Tsorng‐Whay Pan;Anthony J. Kearsley;Jacques Periaux

  • On the numerical solution of nonlinear problems in fluid dynamics by least squares and finite element methods (I) least square formulations and conjugate gradient solution of the continuous problems

    M.O. Bristeau;O. Pironneau;R. Glowinski;J. Periaux

  • Numerical simulation of 3-D hypersonic Euler flows around space vehicles using adapted finite elements

    Unknown

  • Turbulent separated shear flow control by surface plasma actuator: experimental optimization by genetic algorithm approach

    N. Benard;J. Pons-Prats;J. Periaux;G. Bugeda

  • Robust design optimisation using multi-objective evolutionary algorithms

    Dong Lee;Luis Gonzalez;Jacques Periaux;Kavita Srinivas

  • Robust evolutionary algorithms for UAV/UCAV aerodynamic and RCS design optimisation

    Dong-Seop Lee;Luis F. Gonzalez;K. Srinivas;Jacques Periaux

  • Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering

    D S Lee;L F Gonzalez;J Périaux;K Srinivas

  • Game Theory Based Evolutionary Algorithms: A Review with Nash Applications in Structural Engineering Optimization Problems

    David Greiner;Jacques Periaux;Jose M. Emperador;Blas Galván

  • Drag reduction via turbulent boundary layer flow control

    Adel Abbas;Gabriel Bugeda;Esteban Ferrer;Song Fu

  • Hybrid-Game Strategies for multi-objective design optimization in engineering

    DongSeop Lee;Luis Felipe Gonzalez;Jacques Periaux;Karkenahalli Srinivas

  • Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization

    David Greiner;Jacques Periaux;Domenico Quagliarella;Jorge Magalhaes-Mendes

  • Uncertainty based robust optimization method for drag minimization problems in aerodynamics

    Zhili Tang;Jacques Périaux

  • UAS Mission Path Planning System (MPPS) Using Hybrid-Game Coupled to Multi-Objective Optimizer

    DongSeop Lee;Jacques Periaux;Luis Felipe Gonzalez

  • Active Transonic Aerofoil Design Optimization Using Robust Multiobjective Evolutionary Algorithms

    Dong Lee;Jacques Periaux;Eugenio Onate;Luis Gonzalez

  • Distributed evolutionary optimization using Nash games and GPUs – Applications to CFD design problems

    Jyri Leskinen;Jacques Périaux;Jacques Périaux

  • Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual nash strategies in a CFD design environment

    J. Periaux;D. S. Lee;L. F. Gonzalez;K. Srinivas

  • Multi-level Hybridized Optimization Methods Coupling Local Search Deterministic and Global Search Evolutionary Algorithms

    Z. Tang;X. Hu;J. Périaux;J. Périaux

  • Parallel Genetic Solution for Multiobjective MDO

    Raino A. E. Mäkinen;Pekka Neittaanmäki;Jacques Périaux;Mourad Sefrioui;Mourad Sefrioui

  • Evolutionary Optimisation Methods with Uncertainty for Modern Multidisciplinary Design in Aeronautical Engineering

    Dong Lee;Luis Gonzalez;Jacques Periaux;Kavita Srinivas

  • Optimal Mission Path Planning (MPP) For An Air Sampling Unmanned Aerial System

    Luis Felipe Gonzalez;DongSeop Lee;Edificio C;Gran Capitan

  • Computational mathematics driven by industrial problems

    Rainer E. Burkard;Antony Jameson;Gilbert Strang;Peter Deuflhard

  • UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

    Dong-Seop Lee;Luis Felipe Gonzalez;Jacques Periaux

Frequent Co-Authors

Eugenio Oñate
Eugenio Oñate Universitat Politècnica de Catalunya
Nicolas Benard
Nicolas Benard University of Poitiers
Eric Moreau
Eric Moreau University of Poitiers
Ning Qin
Ning Qin University of Sheffield
Pekka Neittaanmäki
Pekka Neittaanmäki University of Jyväskylä
Roland Glowinski
Roland Glowinski University of Houston

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