Transport Optimization:
Methods & Codes

This page lists both computational methods and codes that are used for to optimize systems with simulation of transport of contaminants. Since there are new methods and codes are emerging in this field in addition to revisions to existing programs, references and supporting research have also been included.

ModGA Developed by Chunmiao Zheng of the University of Alabama, ModGA, a simulation-optimization model, can be used for optimal design of groundwater hydraulic control and remediation systems under general field conditions. The model couples genetic algorithms (GA), a global search technique inspired by biological evolution, with MODFLOW and MT3D.

MGO (Modular Groundwater Optimizer) Developed by Chunmiao Zheng of the University of Alabama, the MGO code couples the MODFLOW and MT3D simulators with three global optimization methods, i.e., genetic algorithm, simulated annealing, and tabu search, which are linked by a common input/output structure and integrated with a gradient-based optimization module to reduce the computational burden.

References (for both ModGA and MGO):

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