Techniques known as "Cat Swarm Optimisation" (CSO) are based on an optimization algorithm inspired by nature and the collective behavior of cats. CSO mimics the cooperation and communication among a group of cats to tackle complex optimization issues. It is inspired by the hunting behavior and social interactions of cats. These methods' capacity to efficiently explore broad search spaces and identify ideal answers has drawn a lot of attention in recent years.
The capacity of CSO approaches to managing high-dimensional and non-linear optimization issues is one of its main benefits. Because of this, they can be used in a variety of industries and domains, including data mining, engineering, and finance. Furthermore, CSO algorithms are renowned for their resilience and capacity to function in unpredictable and noisy conditions.