Mathematical Problems in Engineering

High-Performance Computing Strategies for Complex Engineering Optimization Problems


Publishing date
25 Apr 2014
Status
Published
Submission deadline
06 Dec 2013

Lead Editor

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:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 518120
  • - Research Article

Route Assessment for Unmanned Aerial Vehicle Based on Cloud Model

Xixia Sun | Chao Cai | ... | Xubang Shen
  • Special Issue
  • - Volume 2014
  • - Article ID 734863
  • - Editorial

High-Performance Computing Strategies for Complex Engineering Optimization Problems

Gongnan Xie | Massimo Scalia | ... | Manyu Xiao
  • Special Issue
  • - Volume 2014
  • - Article ID 921647
  • - Research Article

Optimal Machine Tools Selection Using Interval-Valued Data FCM Clustering Algorithm

Yupeng Xin | Xitian Tian | Lijiang Huang
  • Special Issue
  • - Volume 2014
  • - Article ID 524621
  • - Research Article

Computational Classification and Diagnosis of Alcoholic Liver Diseases Using General Regression Neural Network

Naiping Li | Yongfang Jiang | ... | Ting Yuan
  • Special Issue
  • - Volume 2014
  • - Article ID 210714
  • - Research Article

Modeling of Failure Prediction Bayesian Network with Divide-and-Conquer Principle

Zhiqiang Cai | Weitao Si | ... | Shudong Sun
  • Special Issue
  • - Volume 2014
  • - Article ID 258173
  • - Research Article

A Bottleneck Detection Algorithm for Complex Product Assembly Line Based on Maximum Operation Capacity

Dongping Zhao | Xitian Tian | Junhao Geng
  • Special Issue
  • - Volume 2014
  • - Article ID 606913
  • - Research Article

A Generalization Belief Propagation Decoding Algorithm for Polar Codes Based on Particle Swarm Optimization

Yingxian Zhang | Aijun Liu | ... | Chao Gong
  • Special Issue
  • - Volume 2014
  • - Article ID 420652
  • - Research Article

An Improved Real-Coded Population-Based Extremal Optimization Method for Continuous Unconstrained Optimization Problems

Guo-Qiang Zeng | Kang-Di Lu | ... | Chong-Wei Zheng
  • Special Issue
  • - Volume 2014
  • - Article ID 610278
  • - Research Article

Policy Decomposition for Evaluation Performance Improvement of PDP

Fan Deng | Ping Chen | ... | Hui Xu
  • Special Issue
  • - Volume 2014
  • - Article ID 641562
  • - Research Article

High-Speed Rail Train Timetabling Problem: A Time-Space Network Based Method with an Improved Branch-and-Price Algorithm

Bisheng He | Rui Song | ... | Yue Xu
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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