面向对象的大型洞室群智能优化平台及可视化研究*

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Abstract Based on the parallel environment (RsmVPC) developed on WINDOWS platform，an intelligent optimization platform of large cavern group is established using object–oriented programming. The platform provides a visual interface and hides the detail of the intelligent software，e.g. genetic algorithms and neural networks，used behind perfectly. When using the platform，the users neednt be familiar with the internal mechanism. Therefore，the platform provides a convenient way to solve the optimization of excavation sequences and support designs of large cavern group according to the ordered format of input data. The platform makes it possible to solve the optimization problems of large-scale cavern group in parallel on PC machine groups. It is indicated that the computing efficiency and precision are improved to a large extent with this platform.

Key words： object–oriented programming large cavern group intelligent optimization visualization

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https://rockmech.whrsm.ac.cn/EN/Y2002/V21/IS/2094