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遗传算法与优化注射机合模机构运动行程 被引量:1

Closing mechanism motion displacement of injecting machine optimum design based on simulated annealing algorithm
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摘要 将遗传算法应用于注射机合模机构运动行程的最大化设计研究。优化中运动行程为目标函数,肘杆断面尺寸、肘杆起始与最终位置为设计变量,考虑了强度、稳定性、锁模力等约束条件。从研究结果来看,应用遗传算法进行运动行程的优化设计是可行且高效,可在注塑机合模机构运动行程最大化设计中推广应用。 A new optimum technology, genetic algorithm, which can solve the motion displacement of closing model optimum problem was introduced. The target function is the motion displacement of closing model ,there are three kinds of constraint which are strength ,stability ,closing model load. Genetic algorithm was applied in the structural optimum design of elbow rod of injecting engine in this paper and the ideal and reasonable result was obtained, which shows that GA is feasible and effective and can be used in other engineering optimum design field.
作者 吴光琼
出处 《机械设计与制造》 2003年第4期33-34,共2页 Machinery Design & Manufacture
关键词 注射机 合模机构 运动行程 遗传算法 最大化设计 优化设计 Motion displacement Genetic Algorithm Maximizing
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  • 3David E. Goldberg. Genetic algorithms in search,optimization and machine learning. Addison Wwesly Publishing Co, 1989 .
  • 4C. Y. Lin and P. Hajela. Genetic algorithms in optimization problem with discrete and integer design variables,Eng. Opt, 1992(19).

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