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与传统优化算法相比,遗传算法在并行性、全局性以及鲁棒性等方面有明显提升,但其自身也存在一定的不足。首先对免疫遗传算法进行简单介绍,其次分别从建立目标函数以及约束条件两方面阐述了采煤机螺旋滚筒参数数学模型,最后通过仿真实验对优化结果加以验证。
Compared with the traditional optimization algorithm, the genetic algorithm has obvious improvement in the aspects of parallelism, globality and robustness, but it also has its own shortcomings. Firstly, the immune genetic algorithm is introduced briefly. Secondly, the mathematic model of shearer spiral drum parameters is established respectively from the establishment of objective function and constraints. Finally, the optimization results are verified through simulation experiments.