[1]张 丹,俞齐鑫.桥式起重机箱型主梁的改进遗传算法优化设计[J].机械与电子,2015,(09):21-23.
 ZHANG Dan,YU Qixin.Optimized Design for Box Girder of Bridge Crane Based on Improved Genetic Algorithms[J].Machinery & Electronics,2015,(09):21-23.
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桥式起重机箱型主梁的改进遗传算法优化设计
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2015年09期
页码:
21-23
栏目:
设计与研究
出版日期:
2015-09-25

文章信息/Info

Title:
Optimized Design for Box Girder of Bridge Crane Based on Improved Genetic Algorithms
文章编号:
1001-2257(2015)09-0021-03
作者:
张 丹俞齐鑫
(西安工程大学机电工程学院,陕西 西安 710048)
Author(s):
ZHANG DanYU Qixin
(College of Mechanical and Electrical Engineering,Xi'an Polytechnic University,Xi'an 710048,China)
关键词:
遗传算法 桥式起重机 箱型主梁 优化设计
Keywords:
genetic algorithm bridge crane box-type girder optimized design
分类号:
TH215; TP202
文献标志码:
A
摘要:
在遗传算法原理的基础上,首先对遗传算法中的选择算子进行改进优化,将优胜劣汰的思想融入到遗传算法中,从而保障最优基因能迅速地遗传到后代,加速收敛。然后通过时刻改变惩罚项和障碍项动态调整适应度函数,避免算法止于局部最优。最后,将改进的遗传算法应用于桥式起重机箱形主梁的优化设计中。
Abstract:
Based on the principle of genetic algorithms, this paper first improves and optimizes the selection operator of genetic algorithm, bringing the principles of “survival of the fittest” into the frame of the genetic algorithms, thus faster transmission of the elitist genes into the later generations and the increase of the convergence speed is guaranteed; and then the dynamic change of fitness function is realized through the dynamic changes of barrier items and penalty items, so as to achieve the global convergence of the algorithm. Finally, the improved genetic algorithm is applied to the optimized design of the box girder of bridge crane.

参考文献/References:

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[2] 孟鑫.基于改进免疫遗传算法的桥式起重机主梁优化设计[D].太原:中北大学,2014.
[3] 梁兴建,詹志辉,谭伟,等.基于最优保留策略的改进遗传算法[J].计算机工程与设计,2014,35(11):3985-3990.
[4] Ritthipakdee A,Thammano A,Premasathian N,et al.A new selection operator to improve the performance of genetic algorithm for optimization problems[C]//IEEE ICMA Conference International Scientific Advisory Board,2013:371-375.
[5] 刘道华,原思聪,张锦华,等.粒子群参数自适应调整的优化设计[J].农业机械学报,2008,39(9):134-137.
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备注/Memo

备注/Memo:
收稿日期:2015-04-20
作者简介:张 丹(1990-),女,陕西渭南人,硕士研究生,主要研究方向为机电控制。
更新日期/Last Update: 2015-09-25