Global optimization methods which rely on techniques inspired by nature
Bio-Inspired algorithms are a class of optimization methods which rely on techniques inspired by nature, like social interactions, the human brain, or darwinian evolution.
They have been increasingly used in the last years horse games for solving many real-world tasks that can be formulated as optimization problems. Among their numerous strengths, we can consider:
- easy to implement
- easy to parallelize
- they do not depend on the function to optimize
- the function does not need to be differentiable