{"title":"一种新的退火程序的性能","authors":"Jimmy Lam, J. Delosme","doi":"10.1109/DAC.1988.14775","DOIUrl":null,"url":null,"abstract":"A simulated annealing schedule is derived. Its application to the standard cell placement and the traveling salesman problems results in a two to twenty-four times speedup over annealing schedules currently available in the literature. Since it uses only statistical quantities, the annealing schedule is applicable to general combinatorial optimization problems.<<ETX>>","PeriodicalId":230716,"journal":{"name":"25th ACM/IEEE, Design Automation Conference.Proceedings 1988.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"134","resultStr":"{\"title\":\"Performance of a new annealing schedule\",\"authors\":\"Jimmy Lam, J. Delosme\",\"doi\":\"10.1109/DAC.1988.14775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A simulated annealing schedule is derived. Its application to the standard cell placement and the traveling salesman problems results in a two to twenty-four times speedup over annealing schedules currently available in the literature. Since it uses only statistical quantities, the annealing schedule is applicable to general combinatorial optimization problems.<<ETX>>\",\"PeriodicalId\":230716,\"journal\":{\"name\":\"25th ACM/IEEE, Design Automation Conference.Proceedings 1988.\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"134\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"25th ACM/IEEE, Design Automation Conference.Proceedings 1988.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAC.1988.14775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"25th ACM/IEEE, Design Automation Conference.Proceedings 1988.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC.1988.14775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simulated annealing schedule is derived. Its application to the standard cell placement and the traveling salesman problems results in a two to twenty-four times speedup over annealing schedules currently available in the literature. Since it uses only statistical quantities, the annealing schedule is applicable to general combinatorial optimization problems.<>