(AI) in Infrastructure Projects-Gap Study
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- @Article{abdel-kader:2022:Infrastructures,
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author = "Mohamed Y. Abdel-Kader and Ahmed M. Ebid and
Kennedy C. Onyelowe and Ibrahim M. Mahdi and
Ibrahim Abdel-Rasheed",
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title = "{(AI)} in Infrastructure Projects-Gap Study",
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journal = "Infrastructures",
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year = "2022",
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volume = "7",
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number = "10",
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pages = "Article No. 137",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2412-3811",
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URL = "https://www.mdpi.com/2412-3811/7/10/137",
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DOI = "doi:10.3390/infrastructures7100137",
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abstract = "Infrastructure projects are usually complicated,
expensive, long-term mega projects; accordingly, they
are the type of projects that most need optimisation in
the design, construction and operation stages. A great
deal of earlier research was carried out to optimise
the performance of infrastructure projects using
traditional management techniques. Recently, artificial
intelligence (AI) techniques were implemented in
infrastructure projects to improve their performance
and efficiency due to their ability to deal with fuzzy,
incomplete, inaccurate and distorted data. The aim of
this research is to collect, classify, analyse and
review all of the available previous research related
to implementing AI techniques in infrastructure
projects to figure out the gaps in the previous studies
and the recent trends in this research area. A total of
159 studies were collected since the beginning of the
1990s until the end of 2021. This database was
classified based on publishing date, infrastructure
subject and the used AI technique. The results of this
study show that implementing AI techniques in
infrastructure projects is rapidly increasing. They
also indicate that transportation is the first and the
most AI-using project and that both artificial neural
networks (ANN) and particle swarm optimisation (PSO)
are the most implemented techniques in infrastructure
projects. Finally, the study presented some
opportunities for farther research, especially in
natural gas projects.",
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notes = "also known as \cite{infrastructures7100137}",
- }
Genetic Programming entries for
Mohamed Y Abdel-Kader
Ahmed M Ebid
Kennedy C Onyelowe
Ibrahim M Mahdi
Ibrahim Abdel-Rasheed
Citations