多参数自然算法计算能力的分析方法

L. Jianhua, Wei Xing
{"title":"多参数自然算法计算能力的分析方法","authors":"L. Jianhua, Wei Xing","doi":"10.1109/ISCID.2014.51","DOIUrl":null,"url":null,"abstract":"Concerning the Computational capabilities of Multi-parameter natural algorithm, the Mathematical statistical analysis method using multi-indicators has been proposed. These indicators include the calculation central tendency, the dispersion trends and data distribution, which can clearly reflect the natural algorithm computational capabilities for specific problems, and reveal the influence of different parameters on the process of algorithms calculation. Finally, the immune clone operator is taken as an Analysis case. The experimental data has given the rule of the influence of computing power in different parameters.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analytical Methods on Computational Capabilities of Multi-parameter Natural Algorithm\",\"authors\":\"L. Jianhua, Wei Xing\",\"doi\":\"10.1109/ISCID.2014.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concerning the Computational capabilities of Multi-parameter natural algorithm, the Mathematical statistical analysis method using multi-indicators has been proposed. These indicators include the calculation central tendency, the dispersion trends and data distribution, which can clearly reflect the natural algorithm computational capabilities for specific problems, and reveal the influence of different parameters on the process of algorithms calculation. Finally, the immune clone operator is taken as an Analysis case. The experimental data has given the rule of the influence of computing power in different parameters.\",\"PeriodicalId\":385391,\"journal\":{\"name\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2014.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2014.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对多参数自然算法的计算能力,提出了多指标数理统计分析方法。这些指标包括计算集中趋势、离散趋势和数据分布,可以清晰地反映算法对特定问题的自然计算能力,揭示不同参数对算法计算过程的影响。最后,以免疫克隆算子为分析案例。实验数据给出了计算能力在不同参数下的影响规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analytical Methods on Computational Capabilities of Multi-parameter Natural Algorithm
Concerning the Computational capabilities of Multi-parameter natural algorithm, the Mathematical statistical analysis method using multi-indicators has been proposed. These indicators include the calculation central tendency, the dispersion trends and data distribution, which can clearly reflect the natural algorithm computational capabilities for specific problems, and reveal the influence of different parameters on the process of algorithms calculation. Finally, the immune clone operator is taken as an Analysis case. The experimental data has given the rule of the influence of computing power in different parameters.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Integrated Framework for Analysis and Mining of the Massive Sensor Data Using Feature Preserving Strategy on Cloud Computing Acetylene Density Measurement System Based on Differential and Harmonic Detection Research Intelligent Fire Evacuation System Based on Ant Colony Algorithm and MapX Research on the Application of Intelligent Campus Supermarket System -- Based on the Internet of Things (IOT) Technology Speaker Recognition Method Based on CPSO Clustering and KMP Algorithm
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1