Grasshopper Optimization Algorithm (G.O.A.) Grasshoppers are also known as pests. They destroy fields and crop production. Grasshopper lifecycle contains Eggs, Nymph Phases, and Adult Grasshopper. Grasshopper Optimization Algorithm is a Nature-inspired swarm-based optimization algorithm. Grasshopper Optimization Algorithm (GOA) is inspired by the foraging and swarming behavior of grasshoppers in nature. The grasshopper optimization algorithm is basically inspired by the behavior of adult grasshoppers in nature. Adult grasshoppers can make sudden jumps and cover long-range as compare to nymphs. This is the mathematical model used to represent grasshopper behavior in this algorithm : 𝑥_𝑖 = 𝑆_𝑖 + 𝐺_𝑖 + 𝐴_i GrasshopperCurrentPosition = Social Interaction in the group + Force of gravity + Wind Direction. Normally distributed random values are used in the grasshopper optimization algorithm for grasshopper random behavior in nature. Grasshopper Optimization Algorithm Steps. 1.) Parame
