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针对大洋富钴结壳开采过程中微地形的复杂性,论述了富钴结壳开采的采集率、废石混入率与切削深度间的关系,进一步分析了在开采中达到某一控制废石混入率时,与切削深度相应的采集率所出现的多极值性问题;在此基础上,引入了遗传算法,并利用其全局寻优性成功地解决了在达到控制废石混入率时获得最大采集率的切削深度的控制问题.文中给出了遗传算法在解决本问题中的具体实施过程,并对实例进行了计算,得出了满意的结果.从而为大洋深海开采的切削深度的控制提出了一解决途径.图4,表1,参12.
In view of the complexity of microtopography during the mining of cobalt-rich crust in the oceans, the relationship between the collection rate of cobalt-rich crust mining, the mixing rate of waste rock and the depth of cut was discussed. Rate, and the cutting depth corresponding to the collection rate of the emergence of multi-extreme problems; On this basis, the introduction of genetic algorithms, and use of its global optimization has successfully solved the control of the rate of access to waste stone to obtain the maximum The control of the cutting depth of the acquisition rate.The article gives the concrete implementation process of the genetic algorithm in solving this problem, and calculates the examples to get the satisfactory results.This paper puts forward the control of the depth of cut for deep oceanic mining A solution. Figure 4, Table 1, reference 12.