In multi-objective approaches, other goals are added.
We can find in the literature works that propose multi-objective approaches (Harman et al. 2014).
In contrast, multi-objective approaches have received much less attention from researchers.
Among these studies, a lot of recent work has looked at multi-objective approaches.
Furthermore, multi-objective approaches can also be addressed as an extension of the present study.
Further, the results of proposed approach are also compared with other single and multi-objective approaches using GA.
After exploring typical multi-objective approaches, we resort to a weighted sum mixed integer linear program.
There is a lack of multi-objective approaches applied in this context.
The more effective inclusion of uncertainty and risk in models with improved multi-objective approaches is also needed.
Multi-objective approaches, recently proposed, in most cases lead to the maximisation of a weighted sum of score functions.
The approach was tested on six open source programs and compared against existing mono-objective and multi-objective approaches, as well as a manual refactoring approach.
