“…In this paper, we propose Reinforced Swarm Optimization (RSO), a novel optimization algorithm for feature selection that incorporates the features of both reinforcement learning along with swarm intelligence based BSO algorithm. BSO [5], is a metaheuristic optimization algorithm, that mimics the foraging activities of bee colony and have been used in various domains including cloud computing [18], maximum satisfiability problem (MAX-SAT) [19], document retrieval [20], parallel computing [21], biomedical image analysis [22], [23], and many more. On the other hand, reinforcement learning (RL) has been integrated into BSO to make it more adaptive and robust powered by a suitable balance between diversification and intensification of the search space, compensating the local search of the BSO search agents.…”