Comparing and Describing the Characteristics of Swarm Optimization in Bio-inspired Algorithm

The majority of medical data research includes bio-inspired algorithms to identify the best answers, mainly swarm optimizations techniques. Up to this point, there are nine swarm optimization approaches derived through publications. All these bio-inspired algorithms are based on animal behavior, lifestyles, and environments. To directly locate the best procedures, we must overcome various challenges to choose an optimal answer for medical research. Even if we can identify some algorithms as the best methodologies, for various research projects, we choose various algorithms as the major ones depending on the qualities that they require. As a result, we examine all the optimization strategies’ characteristics in detail in our work. The readers can determine the optimization strategy they want to apply in their application by reading the qualities they want to incorporate in their project since many optimization strategies cannot be anticipated as the best approaches based on a single criterion. As a result, we covered the characteristics of swarm optimization strategies, took five main characteristics of bio-inspired algorithms, and mentioned the best suitable algorithm for each of them.