Computational Intelligence in Civil and Hydraulic Engineering
1Department of Computer Science and Technology, Zhejiang University of Science & Technology, Hangzhou, China
2Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, China
3Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran
4Department of Civil, Construction & Environmental Engineering, Iowa State University, IA, USA
5Computer Engineering Department, Dumlupinar University, Kütahya, Turkey
Computational Intelligence in Civil and Hydraulic Engineering
Description
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 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/ according to the following timetable: