Abstract
In this paper we solve a state constrained optimal control problem using an intelligent system based on evolutionary self-learning computation. We try to find the optimal locations of liquid waste dumping sites in offshore waters, so that it is verified 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 as can be fish hatcheries. Simultaneously, we try to minimise the investment costs such as, for example, hydraulic infrastructures.
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