{"title":"初始配置算法的性能","authors":"M. Palczewski","doi":"10.1109/DAC.1984.1585828","DOIUrl":null,"url":null,"abstract":"This paper analyzes the performance of a commonly used class of methods for initial placement and describes several new classes. The classification in this paper is based on common methods of problem-solving used in artificial intelligence (AI) approaches. The paper does not describe the details of algorithms; instead it focuses on the qualitative performance.","PeriodicalId":188431,"journal":{"name":"21st Design Automation Conference Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance of Algorithms for Initial Placement\",\"authors\":\"M. Palczewski\",\"doi\":\"10.1109/DAC.1984.1585828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the performance of a commonly used class of methods for initial placement and describes several new classes. The classification in this paper is based on common methods of problem-solving used in artificial intelligence (AI) approaches. The paper does not describe the details of algorithms; instead it focuses on the qualitative performance.\",\"PeriodicalId\":188431,\"journal\":{\"name\":\"21st Design Automation Conference Proceedings\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st Design Automation Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAC.1984.1585828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st Design Automation Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC.1984.1585828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper analyzes the performance of a commonly used class of methods for initial placement and describes several new classes. The classification in this paper is based on common methods of problem-solving used in artificial intelligence (AI) approaches. The paper does not describe the details of algorithms; instead it focuses on the qualitative performance.
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