optimization of geometry of trapezoidallabyrinth spillway with using anfis models and genetic algorithms (ute dam case study in the united states of america)

labyrinth spillway is an appropriate option to pass pmf discharge. the most advantages of this type of spillway are higher discharge capacity, easy aeration as well as low fluctuations of flow surface. it is essential to find the optimum geometry considering the maximum passing discharge under specific hydraulic conditions with minimum construction cost. in this study, fuzzy inference system (fis) and genetic algorithm (ga) were used to optimize the spillway's geometry and satisfy the hydraulic conditions. applying fis to evaluate coefficient based on available input - output pattern, anfis was employed. finally, based on ga and anfis model output a cost function was defined to minimize the expense under appropriate hydraulic condition.