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	基于可靠灰色粒子群算法的盾构机行星减速器轮系的多目标优化设计 Multi-objective Optimization Design on Gear Train of Planetary Reducer in Shield Tunneling Machine Based on Reliably Grey Particle Swarm Optimization
	张干清[1]; 龚宪生[1,2]; 王欢欢[2]; 邓小东[2]; 王本术[2]
	2010
卷号	46页码:135-145
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2990162
专题	重庆大学
推荐引用方式 GB/T 7714	张干清[1],龚宪生[1,2],王欢欢[2],等. 基于可靠灰色粒子群算法的盾构机行星减速器轮系的多目标优化设计 Multi-objective Optimization Design on Gear Train of Planetary Reducer in Shield Tunneling Machine Based on Reliably Grey Particle Swarm Optimization[J],2010,46:135-145.
APA	张干清[1],龚宪生[1,2],王欢欢[2],邓小东[2],&王本术[2].(2010).基于可靠灰色粒子群算法的盾构机行星减速器轮系的多目标优化设计 Multi-objective Optimization Design on Gear Train of Planetary Reducer in Shield Tunneling Machine Based on Reliably Grey Particle Swarm Optimization.,46,135-145.
MLA	张干清[1],et al."基于可靠灰色粒子群算法的盾构机行星减速器轮系的多目标优化设计 Multi-objective Optimization Design on Gear Train of Planetary Reducer in Shield Tunneling Machine Based on Reliably Grey Particle Swarm Optimization".46(2010):135-145.

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