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- W2892801876 abstract "Having developed a hybrid optimization methodology for mechatronics system movements in space, the task is to efficiently control of robotic system with 6 degrees of freedom. In this work, hybrid methodology is compared with a simple genetic algorithm. It is applied in a simulation environment of a 6-degrees of freedom robotic arm and the results are compared with the mathematical model developed to support this methodology. The results of the research show that the optimization with the hybrid method compared to the simple GA, which is calculated by the mathematical model, is confirmed by more than 90% of the robotic arm simulation model examples." @default.
- W2892801876 created "2018-10-05" @default.
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- W2892801876 date "2018-09-29" @default.
- W2892801876 modified "2023-09-23" @default.
- W2892801876 title "Off-line Robot Optimization with Hybrid Algorithm" @default.
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- W2892801876 doi "https://doi.org/10.1007/978-3-030-00232-9_37" @default.
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