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: When solving expensive multi-objective optimization problems, traditional evolutionary algorithms rely on a large number of fitness evaluations, which leads to insufficient exploration of ...
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