Sorting path optimization of parallel robot based on improved Genetic Algorithm
نویسندگان
چکیده
Abstract In industrial production, parallel robot is often used for sorting, battery clamp divided into two structures, the classification and multi-target sorting problems. The motion path of end-effector planned, overall practical problem transformed a similar traveling salesman problem. improved genetic algorithm proposed to optimize time sequence, optimized shortens 10.23% total distance on average compared with random 5.37% fixed longitudinal sorting. shortening can lead higher efficiency in increase productivity.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2121/1/012018