Optimal placement of wastewater outfalls using an internet-based distributed computing environment and a 3D finite volume model of pollutant dispersion in offshore waters

摘要

In this paper we solve a state constrained optimal control problem using an intelligent system based on evolutionary self-learning computation under a parallel implementation linked to the Flexible Evolution Agent using an Internet-based distributed computing environment. We try to find the optimal locations of liquid waste dumping sites in offshore waters, in order to verify that the concentration of a considered pollutant does not exceed a pre-established limitation, either at a specific distance from the shore or in different protected areas such as fish hatcheries. Simultaneously, we try to minimise the required investment and hydraulic infrastructure costs.