… efficient optimizer with uses of grasshopper optimization … grasshopper optimization algorithm,
for good results in feature selection. Jumani et al. [46] highlighted grasshopper optimization …

… grasshopper optimization algorithm (GOA) is a metaheuristic algorithm that mathematically
models and simulates the behavior of the grasshopper … to resolve optimization problems. This …

… grasshopper algorithm for global optimization problems. Grasshopper optimization … To
overcome these shortcomings, we proposes a grasshopper optimization algorithm based on a …

… An optimization problem is a process to search for the global … Anand proposed chaotic
grasshopper optimization algorithm in … solve optimization problems and task scheduling problems. …

… In this work, we test our six proposals on performing optimization for global optimization.
The algorithms are evaluated using the test optimization functions listed in Table 1 (Sect. 4.2). …

… As one of the latest meta-heuristic algorithms, the grasshopper optimization algorithm (GOA…
Firstly, principal component analysis strategy is employed to obtain the grasshoppers with …

… This paper introduces a hybrid grasshopper optimization algorithm with bat algorithm (BGOA)
for global optimization. In the BGOA, the Levy flight with variable coefficient is employed to …

… The position of a grasshopper is updated based on its current position, global best position,
and the positions of other grasshoppers within the swarm. This helps GOA to avoid getting …

… algorithm for optimization. In the current study, a hybrid grasshopper optimization algorithm
… The invasive weed optimization (IWO) and random walk strategy are helpful for improving …

… the improved grasshopper optimization algorithm called IGOA improves the search efficiency
and avoid the local optimum [15]. The adaptive grasshopper optimization algorithm named …