矿山开采是一复杂的过程，其全局优化决策可视为一个复杂的大系统。
Mining is a complex process. The global optimum decision for mines can be regarded as a complex large system.
仿真及实际应用结果表明，算法地改进大大提高了其全局搜索能力，分时供电的优化能显著降低锌电解过程的用电费用。
Simulation and industrial practical results show that global search ability of IPSO is improved greatly and optimization of TSPS can decrease the power cost notably.
采用神经网络与遗传算法相结合的方法，用黑箱模型计算催化精馏过程，并进行了全局优化；
A method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.
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