  Swarm intelligence and bio-inspired algorithms form a hot topic in the
developments of new algorithms inspired by nature. These nature-inspired
metaheuristic algorithms can be based on swarm intelligence, biological
systems, physical and chemical systems. Therefore, these algorithms can be
called swarm-intelligence-based, bio-inspired, physics-based and
chemistry-based, depending on the sources of inspiration. Though not all of
them are efficient, a few algorithms have proved to be very efficient and thus
have become popular tools for solving real-world problems. Some algorithms are
insufficiently studied. The purpose of this review is to present a relatively
comprehensive list of all the algorithms in the literature, so as to inspire
further research.
