{"title":"Faster processing of GUI display using genetic algorithm","authors":"T. Mori, T. Nonaka, T. Hase","doi":"10.1109/ICCE-BERLIN.2011.6031810","DOIUrl":null,"url":null,"abstract":"The authors have already proposed a method of generating a GUI display screen using a genetic algorithm. This paper describes a method of reducing the processing time while achieving the necessary processing. To speed up the processing, three reduction measures are proposed: (1) reduction of the number of times the GA processing algorithm is executed, (2) reduction of the number of generations by means of promoting evolution and selection, and (3) reduction of the time per generation needed for the process. As implemented results, the processing time, which was formerly 60 seconds or longer, was reduced to two seconds or less, or in other words, we could manage to reduce the time needed by all the processing to approximately one thirtieth.","PeriodicalId":236486,"journal":{"name":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-BERLIN.2011.6031810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The authors have already proposed a method of generating a GUI display screen using a genetic algorithm. This paper describes a method of reducing the processing time while achieving the necessary processing. To speed up the processing, three reduction measures are proposed: (1) reduction of the number of times the GA processing algorithm is executed, (2) reduction of the number of generations by means of promoting evolution and selection, and (3) reduction of the time per generation needed for the process. As implemented results, the processing time, which was formerly 60 seconds or longer, was reduced to two seconds or less, or in other words, we could manage to reduce the time needed by all the processing to approximately one thirtieth.