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Advances of Artificial Intelligence in Mechanical Engineering

Call for Papers

Artificial intelligence (AI) is a set of nature-inspired computational methodologies and approaches to address complex problems of the real-world applications to which traditional methodologies and approaches are ineffective or infeasible. AI methods and techniques, including neural networks, evolutionary computation, and fuzzy logic systems, have rapidly evolved over the last decades. Recently, the AI algorithms have attracted the close attention of researchers and have also been applied successfully to solve problems in engineering. Nevertheless, for large and complex problems, the AI algorithms consume considerable computation time due to the stochastic feature of the search approaches. Therefore, there is a potential requirement to develop efficient algorithm to find solutions under the limited resources, time, and money in real-world applications.

The aim of this special issue is to highlight the most significant recent developments on the topics of AI and the applications of the AI algorithms in real-life mechanical problems. We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to research on applications of the AI approaches to solve real-world mechanical engineering problems. Potential topics include, but are not limited to:

  • Methodologies
    • Genetic, evolutionary computation
    • Swarm intelligence
    • Neural networks, support vector machines
    • Fuzzy logic and fuzzy systems
    • Hybrid algorithms
  • Domains of AI applications
    • Optimum design of mechanical systems
    • Intelligent control, system identification, and damage detection
    • Solid mechanics, geomechanics, material modeling, and smart materials
    • Structural dynamics, vibration, and inverse vibration problems

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ame/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/ame/adin/ according to the following timetable:

Manuscript DueFriday, 9 August 2013
First Round of ReviewsFriday, 1 November 2013
Publication DateFriday, 27 December 2013

Lead Guest Editor

Guest Editors

  • Shengyong Chen, School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
  • Amir Hossein Gandomi, Department of Civil Engineering, The University of Akron, Akron, OH 44325, USA
  • Amir Hossein Alavi, Department of Civil and Environmental Engineering, Engineering Building, Michigan State University, East Lansing, MI 48824, USA