Artificial Intelligence in Civil Engineering
Pengzhen Lu,
Shengyong Chen and
Yujun Zheng
Mathematical Problems in Engineering, 2012, vol. 2012, 1-22
Abstract:
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.
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2012/145974.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2012/145974.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:145974
DOI: 10.1155/2012/145974
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().