Table of Contents Author Guidelines Submit a Manuscript

Computational Intelligence in Civil and Hydraulic Engineering

Call for Papers

Computational intelligence (CI) 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. CI methods and techniques, including neural networks, evolutionary computation, and fuzzy logic systems, have rapidly evolved over the last decades, and they have already been applied in various fields of civil and hydraulic engineering.

We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to research on applications of computational intelligence approaches to solve real-world infrastructure engineering problems. Potential topics include, but are not limited to:

  • Methodologies
    • Evolutionary computation, swarm intelligence
    • Neural networks, support vector machines
    • Fuzzy logic and fuzzy systems
    • Hybrid algorithms
  • Domains of CI applications
    • Civil and hydraulic engineering
    • Geotechnical engineering
    • Transportation engineering
    • Structural design, diagnostics, health monitoring

Before submission authors should carefully read over the journal's Author Guidelines, which are located at Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable:

Manuscript DueFriday, 5 October 2012
First Round of ReviewsFriday, 28 December 2012
Publication DateFriday, 22 February 2013

Lead Guest Editor

  • Sheng-yong Chen, Department of Computer Science and Technology, Zhejiang University of Science & Technology, Hangzhou, China

Guest Editors

  • Fei Kang, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, China
  • Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran
  • Sunghwan Kim, Department of Civil, Construction & Environmental Engineering, Iowa State University, IA, USA
  • Dogan Aydin, Computer Engineering Department, Dumlupinar University, Kütahya, Turkey