Swarm intelligence is an innovative computational way to solving hard problems. This discipline is mostly inspired by the behaviour of swarms of ants, termites, bees, wasps, fishes and other biological creatures. In general, this is done by mimicking the behaviour of these swarms. Perhaps the most popular swarm intelligence is inspired by ant colonies.
Furthermore, instead of designing complex and centralized systems, nowadays designers rather prefer to work with many small and autonomous agents. Each agent may prescribe to a global strategy used by some kind of swarms to have intelligence. An agent acts on the simplest of rules. The many agents forming the system can solve very complex problems with minimised designing effort. In General, multi-agent systems that use swarm intelligence are used as search and optimisation tools.
For this book, we seek original contributions on any aspect related to swarm intelligence. Applications of swarm intelligence to real-world system engineering are welcome. The topics of interest include, but are not limited to:
For further details, please do not hesitate to contact the editors Nadia Nedjah and/or Luiza Mourelle