*Bio-inspired Optimization: Algorithm, Analysis and Scope of Application DOI: http://dx.doi.org/10.5772/intechopen.106014*

benefits to provide in different domain problems. To conclude ten bio-inspired algorithms, FSA imitates food search behaviour of fish considering three parameters distance, length, crowd factor among them first two influence function much. WOA whale inspired algorithm has three operators applied to model search, encircle and foraging behaviour of whales. CSO includes two key operations seeking and tracing in computation of optimum solution. AAA control parameters influence whole functionality. MFO accuracy is based on spiral movement towards artificial light. ESA is based on exploration and exploitation in searching. GWO algorithm simulates wolves by dividing into four group; alpha, beta, delta, and omega.
