Intelligent Controllers based on Genetic Algorithms for Reducing Energy and Water Waste

A significant amount of water, energy and time are often wasted, before someone gets the desired water temperature in a bathroom or a kitchen. In this paper, we propose a novel electro-mechanical device for mixing the water intelligently, which is effective for saving water, energy and time. The problem that we intend to solve can be seen as a multi-objective optimization problem in which we require to optimize water's flow and temperature. To achieve this task, we consider both the single-objective and the multi-objective optimisation variants of the problem. NSGA II is then used to solve each of these variants. In order to assess the effectiveness of each approach, a case study has been conducted, where controllers are applied to control a dynamic number of users within a house. The results suggest that multi-objective optimization outperforms single-objective optimization, in terms of quality of the returned solutions.