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math.OC2022
A theoretical framework and some promising findings of grey wolf optimizer, part II: global convergence analysis
Haoxin Wang, Libao Shi
This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…
math.OC2022
A theoretical framework and some promising findings of grey wolf optimizer, part I: analytical model of sampling distribution and stability analysis
Haoxin Wang, Libao Shi
This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…
math.OC2021
A Bare Bones Grey Wolf Optimizer for Global Numerical Optimization
Haoxin Wang, Libao Shi
In order to better understand and analyze the currently widely used population-based metaheuristic optimization algorithms, , this paper proposes a novel computational intelligence…