The idea behind soft computing is to model the cognitive behavior of human mind. Soft computing is the 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, and also it is well suited for real world problems where ideal models are not available. Soft computing algorithms are becoming important classes of efficient tools for developing intelligent systems and providing solutions to complicated civil engineering problems. We encourage the submission of articles that make a genuine soft computing contribution to a challenging civil engineering problem or project.
The focus of this journal is on applications of soft computing methods in civil engineering. Domains of applications include structural engineering, design, diagnostics, health monitoring, hydraulic engineering, geotechnical engineering, transportation engineering, environmental engineering, coastal/ocean engineering and construction management. Articles submitted to this journal could also be concerned about the most significant recent developments in the topics of soft computing and its application in civil engineering. The journal also provides a forum where civil engineering researchers can obtain information on relevant new developments in optimization.
Typical areas of interest could be listed as below: