Abstract: In order to reduce the energy consumption of the ploughing and cutting ratio, plough and chain failure and plough cutter wear and to improve the daily pr oduction, an upward ploughing and cutting depth, downward ploughing and cutting depth, upward ploughing speed, downward ploughing speed and plough and chain pr e-tension were selected as the design parameters. An improved NSGA-II ( Nondominated sorting Genetic Algorithms) was applied to the multi-objective optimized desig n of the coal plough. The optimized results showed that the specific energy consumption of the coal plough was reduced by 16.7%, the wear loss of the plough cutter w as reduced by 17.1%, the plough and chain failure was reduced by 13.6% and the daily production capacity of the plough was improved by 13.9%. The ploughing and C utting parameters and operation parameters of the plough were highly optimized and the total working performances of the plough were effectively improved and would provide the theoretical basis to the design and improvement of the coal plough.