Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems

This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find a global optimum avoiding the local optima trap. Compared to the classical meta...

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