Open AccessResearch on Station Balance of Robot Production Line Based on Improved Double Population Genetic Algorithm
Author(s) -
Zheng Zhou,
Qing-Hao Meng,
Linfang Du,
Xin Wang,
Yang Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032114
Subject(s) - crossover , fitness function , population , production line , robot , genetic algorithm , computer science , selection (genetic algorithm) , production (economics) , beat (acoustics) , mathematical optimization , line (geometry) , algorithm , control theory (sociology) , mathematics , engineering , artificial intelligence , control (management) , mechanical engineering , physics , demography , sociology , acoustics , economics , macroeconomics , geometry
Aim to solve the balance problem of robot production line, an improved double population genetic algorithm is proposed. The priority relation of production process is treated as the constraint condition, the selection function of crossover probability and mutation probability is designed according to the individual fitness of the population. Then the beat optimization algorithm is used to optimize the production rhythm of a switch shell welding line. The simulation result show that the balance rate of this robot welding line is improved and the production rhythm is optimized.