Research on Modelling and Optimization of Stacker Scheduling Route Based on Improved Genetic Algorithm
To improve the performance efficiency of stacker of AS/RS for Metrology Center of Guangdong Power Grid Corporation, this research analyzes the storage modes of the stacker in detail, establishes a mathematical model, and proposes an optimization method of stacker route based on improved genetic algorithm. The greedy crossover operator and Gaussian mutation operator are introduced into this algorithm during searching for the global optimal solution, and the global search ability of the algorithm is improved. The simulation results show this method can improve the operation efficiency of the stacker and achieve satisfactory results in the path optimization.
automated storage and retrieval systemstackerroute optimizationgenetic algorithm
NETL
NSTL
万方数据
维普
