عنوان مقاله [English]
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 evaluation of alternatives. So the factor's weights were calculated using both AHP and FAHP methods.To evaluate the performance and efficiency of the proposed model, Hanoi water distribution network was chosen as a case study. Results show that Genetic algorithm ($omega$= 10.9031) satisfies cost and the three indicators of reliability criteria with both compared methods of AHP and FAHP are better than other algorithms and the last ranks belong to algorithms in which at least one node with pressure is less than that with the minimum allowable pressure.