Elshaboury, N; Attia, T and Marzouk, M (2020) Application of evolutionary optimization algorithms for rehabilitation of water distribution networks. Journal of Construction Engineering and Management, 146(7): 04020069, ISSN 0733-9364
Abstract
Deteriorated water distribution networks require significant investments to maximize their functionality. The problem is that limited financial resources are allocated for rehabilitation strategies. This deficiency highlights the importance of developing a tool that helps decision makers develop maintenance and replacement management plans. The optimization tool is employed using two evolutionary algorithms: genetic algorithms and particle swarm optimization. The efficacy of the developed model is demonstrated through its application in a case study of Shaker Al-Bahery, Egypt. Furthermore, evaluation metrics are considered to compare the performance of the aforementioned algorithms. The results reveal that the particle swarm optimization exhibited superior results when compared with the genetic algorithms. Moreover, the following two multicriteria decision-making techniques are used to provide a ranking for the near-optimum solutions: multiobjective optimization on the basis of ratio analysis and technique for order preference by similarity to ideal solution. Finally, the Spearman correlation coefficient is utilized to assess the correlation between rankings obtained from different decision-making methods. The results indicate a very strong relation among the aforementioned techniques.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | budget allocation; multi-criteria decision-making; multi-objective optimization algorithms; performance metrics; water distribution network |
| Index terms: | genetic algorithm, multi-criteria decision-making, performance metric, strategy, functionality, water distribution network, optimization algorithm, decision-making, replacement, preference, case study, evolutionary algorithm, ratio analysis, multi-objective optimization, Egypt |
| Subjects: | management, performance measurement, decision-making and reasoning, algorithms, Geography, decision analysis, infrastructure and transport systems, data collection methods, materials science, design features, economic analysis |
| Topics: | Research Practice, Geographical Context, Engineering Principles, Business Strategy, Risk Management, Quality Management, Design Practice, Digital Applications |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here