OPTIMAL DESIGN OF WATER DISTRIBUTION NETWORKS USING FUZZY ANALYTICAL HIERARCHY PROCESS
Water distribution networks are one of the main infrastructures of a country. Because of high costs of design and construction, minimizing the cost as a matter of scientific resea...
Gespeichert in:
| Veröffentlicht in: | مهندسی عمران شریف 2018-11, Vol.34.2 (3.2), p.13-21 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | per |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | Water distribution networks are one of the main infrastructures of a country. Because of high costs of design and construction, minimizing the cost as a matter of scientific research is important. Minimizing the cost should be associated with achieving the required pressure at any point and reliability of the network. So, the integrated urban water management can be considered as a multi-objective problem. This research proposed a new method for the optimal design by comparing different algorithms to optimize water distribution networks as a multi-objective problem using Analytic Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) in order to minimize the costs and maximize the three indicators of reliability index includes resiliency index (In), total surplus head index (It) and the minimum surplus head index (Im). These algorithms include genetic algorithm (GA), Honeybee mating optimization (HBMO), ant colony optimization (ACO), combinatorial optimization algorithm (AOC), Tabu search (TS), genetic algorithm linked with linear programming (GA-ILP), particle swarm optimization (PSO), state transition algorithm (STA), and mock open tree topology.AHP is the multi attribute decision method, which uses pairwise comparisons with numerical judgments. When comparing two elements, the uncertain numerical ratio is expressed in a fuzzy manner rather than an exact one. Fuzzy AHP was introduced to capture the `fuzziness' or the vagueness and uncertainty in the ev |
|---|---|
| ISSN: | 2676-4768 2676-4776 |
| DOI: | 10.24200/j30.2018.1417 |