Application of multi-objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks
- Authors
- Yazdi, J.; Sadollah, A.; Lee, E. H.; Yoo, D. G.; Kim, J. H.
- Issue Date
- 9월-2017
- Publisher
- WILEY
- Keywords
- MOPSO; multi-objective optimisation; NSGA-II; NSHS; sewer pipe network; urban drainage system
- Citation
- JOURNAL OF FLOOD RISK MANAGEMENT, v.10, no.3, pp.326 - 338
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF FLOOD RISK MANAGEMENT
- Volume
- 10
- Number
- 3
- Start Page
- 326
- End Page
- 338
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/82440
- DOI
- 10.1111/jfr3.12143
- ISSN
- 1753-318X
- Abstract
- In recent decades, evolutionary optimisation algorithms have been used successfully for a wide variety of water resources engineering problems and their applications are still increasing. In this research work, a hybrid harmony search algorithm, 'Non-dominated Sorting Harmony Search' algorithm is developed and comparedwith two state-of-the-artmulti-objective evolutionary algorithms the non-dominated sorting genetic algorithm (NSGA)-II and multi-objective particle swarmoptimisation (MOPSO) algorithms - for assigning optimal rehabilitation plans for sewer pipe networks. The algorithms considered were validated using some standard test functions reported in the literature and compared with each other in terms of several metrics. These algorithms were then linked to theSWMM-EPAhydraulic model and applied to a stormsewer pipe network case study in Seoul, South Korea, to obtain the best rehabilitation plans for pipe replacements. The results showed that the algorithms considered have different behaviours in solving the benchmark tests and rehabilitation problem. The proposed hybrid multi-objective harmony search algorithm provides better optimal solutions in terms of different metrics and clearly outperforms the other two algorithms for the rehabilitation of the storm sewer pipe networks.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.