Mayler G. A. Martins, L. Rosa, A. B. Rasmussen, R. Ribas, A. Reis
{"title":"多目标布尔因子分解","authors":"Mayler G. A. Martins, L. Rosa, A. B. Rasmussen, R. Ribas, A. Reis","doi":"10.1109/ICCD.2010.5647772","DOIUrl":null,"url":null,"abstract":"This paper introduces a new algorithm for Boolean factoring. The proposed approach is based on a novel synthesis paradigm, functional composition, which performs synthesis by associating simpler sub-solutions with minimum costs. The method constructively controls characteristics of final and intermediate functions, allowing the adoption of secondary criteria other than the number of literals for optimization. This multi-objective factoring algorithm presents interesting features and advantages when compared to previous works.","PeriodicalId":182350,"journal":{"name":"2010 IEEE International Conference on Computer Design","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":"{\"title\":\"Boolean factoring with multi-objective goals\",\"authors\":\"Mayler G. A. Martins, L. Rosa, A. B. Rasmussen, R. Ribas, A. Reis\",\"doi\":\"10.1109/ICCD.2010.5647772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new algorithm for Boolean factoring. The proposed approach is based on a novel synthesis paradigm, functional composition, which performs synthesis by associating simpler sub-solutions with minimum costs. The method constructively controls characteristics of final and intermediate functions, allowing the adoption of secondary criteria other than the number of literals for optimization. This multi-objective factoring algorithm presents interesting features and advantages when compared to previous works.\",\"PeriodicalId\":182350,\"journal\":{\"name\":\"2010 IEEE International Conference on Computer Design\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Computer Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.2010.5647772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Computer Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2010.5647772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces a new algorithm for Boolean factoring. The proposed approach is based on a novel synthesis paradigm, functional composition, which performs synthesis by associating simpler sub-solutions with minimum costs. The method constructively controls characteristics of final and intermediate functions, allowing the adoption of secondary criteria other than the number of literals for optimization. This multi-objective factoring algorithm presents interesting features and advantages when compared to previous works.