Abstract: The Gold Rush Optimizer (GRO) is a recently proposed popular metaheuristic algorithm, but it has sluggish convergence speed, low accuracy, and a tendency to become stuck in local optima when ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...