Grasshopper optimization algorithm for multi-objective optimization problems

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RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method (2021, result): “Mirjalili, et al., 2016) GOA (S. Z. Mirjalili, et al., 2018) MFO (S. Mirjalili, 2015b) MBA (Sadollah, Bahreininejad, Eskandar, & Hamdi, 2013) CS (Gandomi, et al., 2013) HHO (Heidari, Mirjalili, et al., S. Mirjalili, et al., 2016) 0.78860276 0.408453070 GOA (S.”
A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “Acronym Metaheuristic Year HS Harmony Search [30] 2001 BFO Bacterial Foraging Optimization [31] 2002 AFSA Artificial Fish Swarm Algorithm [32] 2003 ABC Artificial Bee Colony Algorithm [33] 2005 BBO Biogeography-Based Optimization [34] 2008 FA Firefly Algorithm [35] 2009 GSA Gravitational Search Algo”
A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process (2019, methodology): “Some of the recently developed algorithms are Multi-Objective Stochastic Fractal Search [48] Multi-Objective Dragonfly [49,50], Multi-Objective Grey Wolf Optimizer [51], Multi-Objective Water Cycle Algorithm [52], Multi-Objective Grasshopper Optimization Algorithm [53], Multi-verse optimizer [54], M”