Mathematical Problems in Engineering

Multidisciplinary Design Optimization in Engineering


Publishing date
28 Jul 2013
Status
Published
Submission deadline
15 Feb 2013

Lead Editor

1Indiana University-Purdue University Fort Wayne, Indiana, IN 46805, USA

2Virtual Systems Research Centre, University of Skövde, Skövde, Sweden

3School of Management, Harbin Institute of Technology, Harbin, China

4Mechatronics Group, Singapore Institute of Manufacturing Technology, 71 Nanyang Drive, Singapore 638075

5Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON, Canada L1H 7K4


Multidisciplinary Design Optimization in Engineering

Description

Multidisciplinary design optimization (MDO) takes into consideration all relevant disciplines simultaneously to find a global optimum, which is superior to a solution from a sequence of local optimizations in individual disciplines. MDO is a rigorous way to solving complex design problems. MDO has been successfully applied in designing many complex products and systems such as aircrafts, automobiles, shipbuilding, computers, and civic infrastructures. However, designs for modern products and production systems become more and more complicated due to the coupled nature of multiple disciplines, ever-increasing numbers of system components, uncertainties, and the needs of multiple design criteria. A simultaneous consideration of multiple disciplines increases the complexity of design problems. Continuing research and development efforts are in demand to advance the theories and methodologies of MDO.

This special issue will be dedicated to the recent progresses on theories, methodologies, and applications of MDO. It will provide an international forum for researchers to summarize recent developments and concepts in the field. Potential topics include, but are not limited to:

  • Comprehensive literature review on MDO
  • Formulation of complex optimal problems
  • Mathematic modeling for MDO applications
  • Analytical and heuristic algorithms
  • Collaborative design optimization
  • Computer programs and tools for multivariable, multiconstraint, and multiobjective design problems
  • Finite element multidisciplinary analysis
  • Multiphysics and multiscale engineering simulation
  • MDO in operational research
  • Optimization of systems of systems
  • Design of mechatronic products and systems
  • Optimizations for planning, scheduling, and control
  • Studies of MDO in mechatronic products such as robotics, automotives, aircrafts, and medical devices

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/mdoe/ according to the following timetable:

Mathematical Problems in Engineering
 Journal metrics
See full report
Acceptance rate11%
Submission to final decision118 days
Acceptance to publication28 days
CiteScore2.600
Journal Citation Indicator-
Impact Factor-
 Submit Evaluate your manuscript with the free Manuscript Language Checker

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.