A multi-robot task assignment method for intelligent storage system
A multi-robot, task allocation technology, applied in the fields of instruments, genetic laws, data processing applications, etc., can solve the problems of difficult selection of linear combination weights, low actual efficiency, and unbalanced task allocation of robots, so as to achieve the problem of system task allocation, improve The effect of science and rationality
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[0086] It can be seen from Table 3 that as the number of robots increases, the total path length of the robot group increases and the average path decreases, but the maximum travel time of the traditional multi-robot task allocation algorithm is much higher than that of the task allocation algorithm proposed by the present invention (improved -NSGA-II), and the total path of the SFO algorithm is much higher than the first two, and the time cost and energy consumption cost are far inferior to the improved genetic algorithm proposed by the present invention.
[0087] The statistical results of the algorithm in the test data set are as follows:
[0088] Table 3 Performance of improved-NSGA-II algorithm in each data set
[0089]
[0090] figure 2 and image 3 Respectively represent the algorithm of the present invention and the SFO algorithm, the comparison diagram of the energy consumption cost and the time cost of the conventional multi-robot task allocation algorithm, it ...
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