{"title":"遗传算法解决报纸商业广告版面问题","authors":"Chengyao Wang, Li Zhan, Shaoqian Wei","doi":"10.1109/CCDC.2009.5195012","DOIUrl":null,"url":null,"abstract":"The layout problem of business advertisements on newspapers belonging to orthogonal packing problem is nonlinear problem. The mathematics model of the problem is described. The encoding space and the decoding function of the genetic algorithm is designed basing on the problem characterizes. The simulation result shows that the genetic algorithm has better performance.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic algorithms solving the problem of commercial advertisement layout in newspapers\",\"authors\":\"Chengyao Wang, Li Zhan, Shaoqian Wei\",\"doi\":\"10.1109/CCDC.2009.5195012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The layout problem of business advertisements on newspapers belonging to orthogonal packing problem is nonlinear problem. The mathematics model of the problem is described. The encoding space and the decoding function of the genetic algorithm is designed basing on the problem characterizes. The simulation result shows that the genetic algorithm has better performance.\",\"PeriodicalId\":127110,\"journal\":{\"name\":\"2009 Chinese Control and Decision Conference\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2009.5195012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5195012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithms solving the problem of commercial advertisement layout in newspapers
The layout problem of business advertisements on newspapers belonging to orthogonal packing problem is nonlinear problem. The mathematics model of the problem is described. The encoding space and the decoding function of the genetic algorithm is designed basing on the problem characterizes. The simulation result shows that the genetic algorithm has better performance.