Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81215
Title: Developing Shuffled Frog-Leaping Algorithm (SFLA) method to solve power load-constrained TCRTO problems in civil engineering
Authors: Tao, X
Li, H 
Mao, C
Wang, C
Hui Yap, JB
Sepasgozar, S
Shirowzhan S
Rose T
Issue Date: 2019
Publisher: Hindawi Publishing Corporation
Source: Advances in civil engineering, 2019, v. 2019, 1404636 How to cite?
Journal: Advances in civil engineering 
Abstract: It is extensively acknowledged that excessive on-site electricity power load often causes power failure across a construction site and surrounding residential zones and can result in unforeseen schedule delay, construction quality problems, life inconvenience, and even property loss. However, energy management, such as power load optimization, has long been ignored in construction scheduling. This study aims to develop a modified shuffled frog-leaping algorithm (SFLA) approach in project scheduling to aid decision-makers in identifying the best Pareto solution for time-cost-resource trade-off (TCRTO) problems under the constraint of precedence, resource availability, and on-site peak electricity power load. A mathematical model including three objective functions and five constraints was established followed by the application of the modified SLFA on real-case multiobjective optimization problems in construction scheduling. The performance of SLFA was compared with that of the nondominated sorting genetic algorithm (NSGA II). The results showed that the developed new approach was superior in identifying optimal project planning solutions, which could essentially assist on-site power load-oriented schedule decision-making for construction teams.
URI: http://hdl.handle.net/10397/81215
ISSN: 1687-8086
EISSN: 1687-8094
DOI: 10.1155/2019/1404636
Rights: Copyright © 2019 Xingyu Tao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Xingyu Tao, Heng Li, Chao Mao, et al., “Developing Shuffled Frog-Leaping Algorithm (SFLA) Method to Solve Power Load-Constrained TCRTO Problems in Civil Engineering,” Advances in Civil Engineering, vol. 2019, Article ID 1404636, 16 pages, 2019 is available at https://doi.org/10.1155/2019/1404636
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Tao_Developing_Shuffled_Frog-Leaping.pdf1.56 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

Page view(s)

10
Citations as of Oct 15, 2019

Download(s)

8
Citations as of Oct 15, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.