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改进的遗传算法在连续体结构拓扑优化中的应用 被引量:1

Application of Improved Genetic Algorithms to Topology Optimization of Continuum Structures
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摘要 应用遗传算法进行结构拓扑设计可以克服传统方法的诸多不足。本文应用遗传算法,采用基于“链码”的编码方式和数学形态学的变异算子,设计了一种连续体结构拓扑优化的新方法。此方法消除了棋盘格和铰接现象,提高了优化分析的效率,可以在较短的时间内找到优异的拓扑结构。 The application of genetic algorithms to comings of traditional methods. A novel algorithm structural topology design can overcome many shortfor topology optimization of continuum structures has been designed on the basis of "chain-code" encoding and mathematical morphologic operators. The new method removes checkerboards and hinges, produces crisp topology of structures, improves optimizatin efficiency and finds excellent topological structures within a short time.
作者 葛培明 陈虬
出处 《机械科学与技术》 CSCD 北大核心 2006年第7期757-760,共4页 Mechanical Science and Technology for Aerospace Engineering
关键词 遗传算法 拓扑优化 链码 genetic algorithms topology optimization chain code
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参考文献7

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