Spider Monkey Optimization algorithm for numerical optimization

Swarm intelligence is a fascinating area for the researchers in the field of optimization. Researchers have developed many algorithms by simulating the swarming behavior of various creatures like ants, honey bees, fishes, birds and their findings are very motivating. In this paper, a new approach for optimization is proposed by modeling the social behavior of spider monkeys. Spider monkeys have been categorized as fission-fusion social structure based animals. The animals which follow fission-fusion social systems, initially work in a large group and based on need after some time, they divide themselves in smaller groups led by an adult female for foraging. Therefore, the proposed strategy broadly classified as inspiration from the intelligent foraging behavior of fission-fusion social structure based animals.