MULTI-OBJECTIVE OPTIMIZATION

Multi-objective optimization is a branch of multiple criteria decision-making that deals with mathematical optimization issues that require the optimization of numerous objective functions at the same time. Finding the optimal solution values for several desired goals is referred to as multi-objective optimization. The justification for utilizing the MOO is that it does not require intricate equations in optimization, which simplifies the task. Multi-objective optimization, which generates a set of non-dominant (Pareto) solutions from which a compromise process design can be chosen, has recently become an important tool for decision-making.

The goal of this study is to reduce construction and maintenance costs while also reducing the time a dam is out of service due to maintenance.
For the three systems we chose in our LCA, we will focus on the lowest CO2 Emissions, Energy, and Costs over time in this optimization.
We took into account a significant number of variables that play a role in our analysis when calculating the total number of interruptions and the maximum distance between interventions.
In order to define our System as accurately as possible, we used a huge number of factors to determine the total number of interruptions and the maximum interval between interventions.