Improved Adaptive Genetic Algorithm Based on Non-ferrous Metals Warehouse Routing Problem Stacker
Automated Warehouse System for non-ferrous metals is the establishment of its physical model. Through the improved adaptive genetic algorithm, overcome the traditional problem of premature convergence of genetic algorithms. through picking stacker established mathematical model, using the improved genetic algorithm to improve on the initial path, the optimal solution, and using Matlab Genetic Algorithms Box conduct a simulation experiment results show that this method converges faster and can get global optimal solution, the stacking machine path planning more quickly and efficiently.
KeywordsNon-ferrous metals Stacker Genetic Algorithm Path optimization
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