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The algorithm is discussed with respect to the objective function, constraint conditions and the generation of random numbers. Some results are presented in the cases of numerous keywords and a limited number of keywords., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=0rQ9BTu2QcUGhPY0rO4MwA==, pdfFileSize=580127, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242118400793706613, articleId=1242118397530538088, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=投资网络广告关键词的预算分配模型及其简化算法, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=探讨了针对网络广告关键词拍卖的预算分配决策的方法和技术，建立了一个多关键词检索的基本模型和转化模型，并对模型中的目标函数、约束条件以及生成随机数等进行优化，得出了在关键词数量有限或相对比较多的两种情况下选择相应解法的结论。 [关键词] 网络经济；关键词拍卖；预算约束, authors=侯乃聪¹,沈向洋², authorsList=侯乃聪;沈向洋, authorCompany=1. 清华大学物理系 北京2. 微软亚洲研究院 北京, correspAuthors=null, authorNote=null, correspAuthorsNote=沈向洋, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=07eYxdMOEkhtkLYmDJ8mKA==, pdfFileSize=580127, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=[Author(id=1299413430478336315, tenantId=1146029695717560320, journalId=null, articleId=1242118397530538088, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, 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