Reference:
J. van Ast,
R. Babuska, and
B. De Schutter,
"Particle swarms in optimization and control," Proceedings of the
17th IFAC World Congress, Seoul, Korea, pp. 5131-5136, July 2008.
Abstract:
In the last decennium, particle swarms have received considerable
attention in the fields of optimization and control. Inspired by
swarms of social animals, such as birds, fish, and termites, simple
behavior on the local level has been shown to result in useful complex
behavior on the global level. Particle Swarm Optimization has proven
to be a very powerful optimization heuristic, and swarm aggregation
based on artificial potential fields enjoys a growing interest for
controlling particles in a swarm. Especially the flexibility,
scalability, and robustness to errors on a local level are intrinsic
properties of swarms that have attracted the interest of researchers
in applying swarm technology to various problems. In this
contribution, we present an overview of the application of particle
swarms for optimization and control of swarm aggregation.