{"title":"宏细胞放置的遗传算法","authors":"H. Esbensen","doi":"10.1109/EURDAC.1992.246265","DOIUrl":null,"url":null,"abstract":"A new genetic algorithm for the macro cell placement problem is presented. The algorithm is based on a generalization of the two-dimensional bin packing problem. The genetic encoding of a macro cell placement and the corresponding genetic operators are described. The algorithm has been tested on MCNC benchmarks and the quality of the produced placements is comparable to the best published results.<<ETX>>","PeriodicalId":218056,"journal":{"name":"Proceedings EURO-DAC '92: European Design Automation Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"A genetic algorithm for macro cell placement\",\"authors\":\"H. Esbensen\",\"doi\":\"10.1109/EURDAC.1992.246265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new genetic algorithm for the macro cell placement problem is presented. The algorithm is based on a generalization of the two-dimensional bin packing problem. The genetic encoding of a macro cell placement and the corresponding genetic operators are described. The algorithm has been tested on MCNC benchmarks and the quality of the produced placements is comparable to the best published results.<<ETX>>\",\"PeriodicalId\":218056,\"journal\":{\"name\":\"Proceedings EURO-DAC '92: European Design Automation Conference\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings EURO-DAC '92: European Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURDAC.1992.246265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings EURO-DAC '92: European Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURDAC.1992.246265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new genetic algorithm for the macro cell placement problem is presented. The algorithm is based on a generalization of the two-dimensional bin packing problem. The genetic encoding of a macro cell placement and the corresponding genetic operators are described. The algorithm has been tested on MCNC benchmarks and the quality of the produced placements is comparable to the best published results.<>
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