Genetic Algorithm–Simulation Framework for Decision Making in Construction Site Layout Planning
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 12 - Engineering
- Output identifier
- 29017789
- Type
- D - Journal article
- DOI
-
10.1061/(ASCE)CO.1943-7862.0001213
- Title of journal
- Journal of Construction Engineering and Management - ASCE
- Article number
- 04016084
- First page
- -
- Volume
- 143
- Issue
- 1
- ISSN
- 0733-9364
- Open access status
- Deposit exception
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel use of the genetic algorithm and simulation to guide complex multi-parameter processes has been adopted into other aspects of the construction process such as the bridge maintenance planning (https://doi.org/10.1016/j.autcon.2020.103513) and lighting maintenance (https://doi.org/10.1061/(ASCE)CF.1943-5509.0001101). The key findings of the paper are highlighted by a state of the art review on optimization algorithms for construction site layout planning (https://doi.org/10.1108/ECAM-08-2019-0457) and it has been utilised and adopted in different disciplines such as production line layout of automobile body shop (https://doi.org/10.1109/ICSSSM.2017.7996213) and refining imperfect sensor data for simulation (https://doi.org/10.1061/(ASCE)CO.1943-7862.0001441).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
