Using Genetic Algorithms with Aquator

Optimisation

Because Aquator can model real-world water resource system rules, it is ideally suited to solving complex optimisation problems, such as derivation of reservoir control curves using the Genetic Algorithm technique.

Genetic Algorithms require intensive computing resources to achieve solutions in a reasonable time. Working with the Centre for Water Systems, University of Exeter, we have developed the system architecture illustrated below for clients in the water industry to solve this problem. (Click on the image to display an expanded image in a new window.)

Aquator has been successfully linked to a Multiobjective Genetic Algorithms optimisation module that optimises reservoir control curves. The documents listed below show examples of this technique.

• Integrated optimisation for reservoir operation using Multiobjective Genetic Algorithms
• Optimising a 5 reservoir system using Genetic Algorithms
• Lower Thames Control Diagram & Deployable Output Optimisation

Enquiries

If you have an optimisation requirement that could use Aquator, please contact us with a Technical enquiry.