High-Performance Computing Strategies for Complex Engineering Optimization Problems
1School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi Xi’an 710072, China
2Department of Mathematics, University of Rome “La Sapienza”, Piazzale Aldo Moro 5, 00185 Rome, Italy
3Department of Mechanical Engineering, Technical University of Denmark, Building 403, Room 115, 2800 Kongens Lyngby, Denmark
4Associate Professor of Civil Engineering Laboratoire de Génie Civil et Génie Mécanique INSA Rennes, France
5Department of Applied Mathematics, Northwestern Polytechnical University, Shaanxi Xi’an 710072, China
High-Performance Computing Strategies for Complex Engineering Optimization Problems
Description
Managing computational effort (CPU time, memory, and interfacing) is a major issue in engineering design optimization problems, due to the cost of the high-fidelity numerical simulations (finite elements, finite volumes, etc.) involved. In order to decrease the overall cost of the optimization process, parallel algorithm, reduced-order models, or their combinations are an economical and efficient option.
This special issue will include theoretical, numerical, and experimental contributions that describe original research results and/or innovative concepts that address all aspects of complex engineering optimization problems. It is also available to concerned review/regular articles that will support and stimulate the continuing efforts to understand the research and development of high-performance computing strategies for different engineering fields. Potential topics include, but are not limited to:
- Parallel algorithms
- Reduced order modeling
- Optimization algorithms
- Finite volume method (FVM) and relevant methods
- Finite element method (FEM) and relevant methods
- Molecular dynamics method (MD) and relevant methods
- Monte Carlo method (MC) and relevant methods
- Meshless methods or smoothed-particle hydrodynamics (SPH)
- Multidisciplinary optimization or topological optimization
- Multiscale simulation and analysis
- Computational analysis for engineering problems
- Other computing or modeling methods
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/ceop/ according to the following timetable: