Bayrakdar, SümeyyeSaruhan, HamitYücedağ, İbrahim2020-04-302020-04-3020171304-72051304-7191https://hdl.handle.net/20.500.12684/3983WOS: 000416216800003Recent years, one of the biggest problems of water resources that become strategic and critical issues is pollution. In this study, Genetic Algorithm-based optimization of a nonlinear and constrained problem on water resources was performed for maximum profit of production plant. The obtained results are compared with the results of Lagrange Multipliers method. It has been observed that the genetic algorithm method gives consistent and precise results.eninfo:eu-repo/semantics/closedAccessGenetic algorithmlagrange multipliersnonlinear problemsoptimizationArticle8299105N/A