Research on Global Path Optimization of Distribution Robot Based on Genetic Algorithm
The global path optimization method of distribution robot based on genetic algorithm is studied to solve the problem of distribution path optimization of distribution robot batch production of complex prefabricated concrete components.Firstly,the global path optimization problem of the distribution robot is reduced to a combinatorial optimization problem by analyzing the production path point group information of components with different specifications;Then,the global path optimization model of distribution robot in batch production is established;Then,the global path optimization method of distribution robot is designed based on genetic algorithm.The experimental re-sults based on the actual production data show that the designed genetic algorithm can not only achieve the global path optimization of the distribution robot,but also significantly shorten the path length compared with the existing methods,improving the intelligent decision making level of the distribution robot.
Distribution robotPath optimizationGenetic algorithmPrecast concrete components
NETL
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