American Journal of Civil Engineering

Special Issue

Application of Soft Computing in Civil Engineering

  • Submission Deadline: 10 December 2015
  • Status: Submission Closed
  • Lead Guest Editor: Hosein Naderpour
About This Special Issue
The idea behind soft computing is to model cognitive behavior of human mind. Soft computing is foundation of conceptual intelligence in machines. Unlike hard computing, Soft computing is tolerant of Imprecision, Uncertainty, Partial Truth, and Approximation. Soft computing aims to surmount NP-complete problems, uses inexact methods to give useful but inexact answers to intractable problems, represents a significant paradigm shift in the aims of computing - a shift which reflects the human mind, tolerant to imprecision, uncertainty, partial truth, and approximation, well suited for real world problems where ideal models are not available. Today, soft computing algorithms are becoming important classes of efficient tools for developing intelligent systems and providing solutions to complicated civil engineering problems.

The focus of this special issue is on applications of soft computing methods in civil engineering. Domains of applications include Structural engineering, design, diagnostics, and health monitoring, Hydraulic engineering, Geotechnical engineering, Transportation engineering, Environmental engineering, Coastal and ocean engineering and Construction management. Articles submitted to this special issue could also be concerned about the most significant recent developments on the topics of soft computing and its application in civil engineering.

Potential aims and scope include, but are not limited to:

1. Artificial Neural Networks (ANN)
2. Fuzzy Logic (FL) and Fuzzy Systems
3. Evolutionary Computation (EC) - based on the origin of the species
4. Genetic Algorithm
5. Swarm Intelligence
6. Ant Colony Optimizations
7. Machine Learning (ML)
8. Charged System Search
9. Artificial Bee Colony
10. Particle Swarm Algorithm
11. Cuckoo Search
12. Dolphin Echolocation
13. Glowworm Swarm Optimization
14. Big Bang-Big Crunch
15. Imperialist Competitive Algorithm
16. Bat Algorithm
17. Wolf Search
18. Krill Herd
19. Harmony Search
20. Stochastic Diffusion Search
21. Fish Swarm/School
22. Monkey Search
23. Hybrid algorithms
Lead Guest Editor
  • Hosein Naderpour

    Department of Civil Engineering, Semnan University, Semnan, Iran

Guest Editors
  • Rui Carneiro Barros

    Civil Engineering Department, FEUP Faculdade Engenharia University of Porto, Porto, Portugal

  • Seyed Mohammad Khatami

    Engineering Departmentm, University of Porto (FEUP), Porto, Portugal

  • Nader Solatifar

    Department of Road Engineering, Faculty of Sealing Components, Semnan University, Dübendorf, Eswatini

  • Seyed Rohollah Hoseini Vaez

    Department of Civil Engineering, University of Qom, Qom, Iran

  • Masoud Ahmadi

    Department of Civil Engineering, Semnan University, Semnan, Iran

  • Pouyan Fakharian

    Department of Civil Engineering, Semnan University, Semnan, Iran

  • Ehsan Moradi

    Department of Civil Engineering, Semnan University, Semnan, Iran

  • Amir Ezzodin

    Department of Civil Engineering, Semnan University, Semnan, Iran

  • Seyed Ali Razavian Amrei

    Department of Civil Engineering, Payame Noor University, Tehran, Iran

  • Masoomeh Mirrashid

    Department of Civil Engineering, Semnan University, Semnan, Iran