|本期目录/Table of Contents|

[1]赵新超,陈敏,巩敦卫.6种交叉操作两两搜索区域大小的定量分析[J].集美大学学报(自然科学版),2018,23(6):467-472.
　ZHAO Xinchao,CHEN Min,GONG Dunwei.Quantitative Analysis of Regional Comparison of Six Kinds of Crossover Operations in Genetic Algorithm[J].Journal of Jimei University,2018,23(6):467-472.
点击复制

6种交叉操作两两搜索区域大小的定量分析(PDF)
分享到：

《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第23卷
期数:
2018年第6期
页码:
467-472
栏目:
数理科学与信息工程
出版日期:
2018-11-28

文章信息/Info

Title:
Quantitative Analysis of Regional Comparison of Six Kinds of Crossover Operations in Genetic Algorithm
作者:
赵新超1; 陈敏1; 巩敦卫2
（1.北京邮电大学理学院，北京 100876;2.中国矿业大学信息与控制工程学院，江苏 徐州 221116）
Author(s):
ZHAO Xinchao1; CHEN Min1; GONG Dunwei2
（1.School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China;2.School of Information aad Control Enginering,China University of Mining and Technology,Xuzhou 221116,China）
关键词:
遗传算法; 交叉操作; 定量分析; 广邻域性
Keywords:
genetic algorithm; crossover operation; quantitative analysis; wide neighborhood
分类号:
-
DOI:
-
文献标志码:
A
摘要:
对6种实数编码交叉操作的两两探测区域进行了定量对比分析，给出两两搜索区域大小比较的解析结果；证明新的交叉操作与相应的原有交叉操作在保有收敛性的同时具有相对的广邻域性，并从理论上分析了遗传算法具有保持群体多样性和较好算法性能的内在原因。
Abstract:
The searching region size comparison on six kinds of crossover operations was quantitatively analyzed.The analytic results on the quantitative comparison indicated that the latter crossover operation in each pair had a relatively wide neighborhood than the corresponding original operation.It presented the inherent possible reasons theoretically for maintaining better population diversity and excellent algorithmic performance.

参考文献/References:

相似文献/References:

[1]廖卫强,周宣达.动态环境中基于遗传算法的机器人路径规划[J].集美大学学报(自然科学版),2012,17(1):60.
　LIAO Wei-qiangZHOU Xuan-da.Soccer Robot Path-planning Based on GeneticAlgorithms in Dynamic Environment[J].Journal of Jimei University,2012,17(6):60.
[2]杨素珍,叶锦华,郑炳坤.一种恒线速无卡旋切机闭环变速进给控制方法[J].集美大学学报(自然科学版),2012,17(3):200.
　YANG Su-zhen,YE Jin-huaZHENG Bing-kun.A Closed Loop Control Method of Variable Speed Feed for Log-core Veneer Lathe[J].Journal of Jimei University,2012,17(6):200.
[3]吴旭,洪联系,魏德志,等.改进的人工鱼群混合算法在智能组卷中的应用[J].集美大学学报(自然科学版),2012,17(5):394.
　WU Xu,HONG Lian-xi,WEI De-zhi,et al.Improved AFSA for Solving Intelligent Test Problem[J].Journal of Jimei University,2012,17(6):394.
[4]杜勇,刘建军.基于太赫兹光谱和支持向量机快速检测棉花种子[J].集美大学学报(自然科学版),2015,20(6):421.
　DU Yong,LIU Jian-jun.Rapid Detection of Cotton Seed Based on THz Spectroscopy Combined with SVM[J].Journal of Jimei University,2015,20(6):421.
[5]张丽玉,陈芸芝,陈红梅,等.一种藻类养殖区自动化提取的Otsu优化算法[J].集美大学学报(自然科学版),2022,27(1):24.
　ZHANG Liyu,CHEN Yunzhi,CHEN Hongmei,et al.Automatic Extraction of Algae Aquaculture Area Based on an Optimized Otsu Algorithm[J].Journal of Jimei University,2022,27(6):24.
[6]杨其飞,兰培真.考虑充电过程的自动化码头AGV调度[J].集美大学学报(自然科学版),2023,28(2):142.
　YANG Qifei,LAN Peizhen.Research on AGV Scheduling of Automated Terminals Considering Charging Process[J].Journal of Jimei University,2023,28(6):142.
[7]闫长健,徐江波.海上突发事故多物资分层应急调度模型[J].集美大学学报(自然科学版),2023,28(4):328.
　YAN Changjian,XU Jiangbo.Multi-Material Hierarchical Emergency Dispatching Model for Marine Accident[J].Journal of Jimei University,2023,28(6):328.

备注/Memo

备注/Memo:
更新日期/Last Update: 2019-01-18