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Multirobot Adaptive Task Allocation of Intelligent Warehouse Based on Evolutionary Strategy
Journal of Sensors
To solve the dynamic and real-time problem of multirobot task allocation in intelligent warehouse system under parts-to-picker mode, this paper presents a combined solution based on adaptive task pool strategy and Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) algorithm. In the first stage of the solution, a variable task pool is used to store dynamically added tasks, which can dynamically divide continuous and large-scale task allocation problems into small-scale subproblems todoi:10.1155/2022/2056617 fatcat:vicj2ndjufduhc2qlcxo246k3e