Publication Date

10-1-2020

Document Type

Article

Department

Civil and Environmental Engineering

Publication Title

Sustainability (Switzerland)

Volume

12

Issue

19

DOI

10.3390/SU12197920

Abstract

Estimates of project costs in the early stages of a construction project have a significant impact on the operator's decision-making in essential matters, such as the site's decision or the construction period. However, it is not easy to carry out the initial stage with confidence, because information such as design books and specifications is not available. In previous studies, case-based reasoning (CBR) is used to estimate initial construction costs, and genetic algorithms are used to calculate the weight of the retrieve phase in CBR's process. However, it is difficult to draw a better solution than the current one, because existing genetic algorithms use random numbers. To overcome these limitations, we reflect correlation numbers in the genetic algorithms by using the method of local search. Then, we determine the weights using a hybrid genetic algorithm that combines local search and genetic algorithms. A case-based reasoning model was developed using a hybrid genetic algorithm. Then, the model was verified with construction cost data that were not used for the development of the model. As a result, it was found that the hybrid genetic algorithm and case-based reasoning applied with the local search performed better than the existing solution. The detail mean error value was found to be 3.52%, 6.15%, and 0.33% higher for each case than the previous one.

Funding Sponsor

Ministry of Trade, Industry and Energy

Keywords

Case-based reasoning, Correlation analysis, Cost estimation, Hybrid genetic algorithm, Local search

Comments

This is the Version of Record and can also be read online here.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS