Preface
Swarm intelligence algorithms (SIAs) are a family of intelligent optimizers inspired by the collective behavior of a swarm in nature under the umbrella of the well-known swarm intelligence (SI), which is to deal with the collective behavior of a swarm with the properties of decentralization, self-organization, and cooperation. Generally speaking, a typical SI system consists of a population of simple individuals which can communicate with each other by acting on their local environment. Though the individual in a swarm follow very simple rules, the interactions between such individuals can lead to the emergence of very complicated global behavior, far beyond the capability of single individual agent.
In SIAs, a swarm is generally made ...
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