- Aiding the algorithm design,
- guiding the choice of the best algorithm for the problem at hand,
- determining the optimal parameter settings.
Bio-inspired search heuristics often turn out to be highly successful for optimization in practice. The theory of these randomized search heuristics explains the success or the failure of these methods in practical applications. Theoretical analyses lead to the understanding of which problems are optimized (or approximated) efficiently by a given algorithm and which are not.
The benefits of theoretical understanding for practitioners are threefold.
Thus, theoretical guidance is essential for success in real-world optimization.
The main objective of this task force is to help bridge the gap between theory and practice in bio-inspired computation.