Dynamic optimal control for groundwater remediation management using genetic algorithms
نویسندگان
چکیده
Three-dimensional groundwater flow and solute transport models were combined within a genetic algorithm framework to solve the discrete-time, optimal control problem of pump-and-treat remediation management with multiple management periods. The results show that (a) a nonlinear concentration term in the performance index contributes significantly to remediation costs; (b) multiple management period strategies reduce the remediation cost but increase the computational cost; (c) genetic algorithms are robust numerical algorithms for both singleand multiple-period management schemes; and (d) the efficiency of the numerical approach is not sensitive to the probability of crossover and mutation.
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