Optimized Design for Auto-adjusting Height System in NC Flame Cutting Machine Based on Complex Genetic Algorithm
2009
On the analysis to the characteristics and demands of auto-adjusting height system in NC flame cutting machine,this chapter uses standard genetic algorithm to optimize the parameters of position adjustor globally and then applies hill-climbing method with high local searching ability to further identify the best value of the parameters. Through simulation,it makes know that using this kind of complex genetic algorithm in optimization can improve the dynamic performance of auto-adjusting height system obviously and the robust performance is also very good.
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