Artificial Intelligence in Civil Engineering

Joint Authors

Lu, Pengzhen
Zheng, Yujun
Chen, Sheng-yong

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-05

Country of Publication

Egypt

No. of Pages

22

Main Subjects

Civil Engineering

Abstract EN

Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer.

Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering.

This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks, fuzzy systems, expert system, reasoning, classification, and learning, as well as others like chaos theory, cuckoo search, firefly algorithm, knowledge-based engineering, and simulated annealing.

The main research trends are also pointed out in the end.

The paper provides an overview of the advances of artificial intelligence applied in civil engineering.

American Psychological Association (APA)

Lu, Pengzhen& Chen, Sheng-yong& Zheng, Yujun. 2012. Artificial Intelligence in Civil Engineering. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029489

Modern Language Association (MLA)

Lu, Pengzhen…[et al.]. Artificial Intelligence in Civil Engineering. Mathematical Problems in Engineering No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-1029489

American Medical Association (AMA)

Lu, Pengzhen& Chen, Sheng-yong& Zheng, Yujun. Artificial Intelligence in Civil Engineering. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029489

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1029489