Making evolutionary algorithms greener implies tackling implementation issues from different angles. Practitioners need to focus on those that can be more easily leveraged, such as the choice of the language that is going to be used; high-level (interpreted), mid-level (based on multi-platform virtual machines), and low-level (native) languages will need power in different ways, and choosing one or the other will have an impact on energy consumption. We will be looking at the implementation of key evolutionary algorithm functions, in three languages at three different levels: the high-level JavaScript, the mid-level Kotlin, which runs on the Java Virtual Machine, and the low-level Zig. Looking beyond the obvious, as the lower the level, the less energy consumption should be expected, we will try to have a more holistic view of the implementation of the algorithms in order to extract best practices regarding its green implementation.