Solitary Intelligence

Swarm Intelligence has become a popular and active area of research for formulating various optimisation techniques which draw ideas from the swarms existing in nature. These techniques tend to produce very effective and efficient solutions to such problems and thus have gained popularity because of their flexibility and versatility. Swarm Intelligence covers a wide variety of animals and insects found in nature which work in a group. We have observed that agents in a few of these techniques work individually. So, in this paper we introduce a new class of nature inspired algorithms called Solitary Intelligence which draws its inspiration from intelligent behaviour of natural agents who work alone.