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we propose an automatic generation technology of a transferable loading algorithm using Cartesian genetic programming (CGP) under a defined objective function. In the proposed method, multiple selection rules are defined as criteria for selecting from stacking candidates, and a model that outputs the execution order is constructed by CGP. In the simulation experiment using transfer to a similar problem, it is shown that the proposed method can derive the same performance as the baseline. This is significant in showing the possibility that the automatically generated loading algorithm can be transferred to similar problems without additional evaluation by humans.",
Yokohama National University.
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.",
Genetic Programming entries for Yusuke Hiruta Kei Nishihara Yuji Koguma Masakazu Fujii Masaya Nakata