{"title":"拉格朗日法布线设计","authors":"M. Nagamatu, S. Ismail, T. Yanaru","doi":"10.1109/ANNES.1995.499506","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new algorithm which solves the routing problem of LSI layout design as a continuous valued constrained optimization problem. All continuous valued wires change their values simultaneously according to the dynamic equations of Lagrangian method, hence this method is suitable for neurocomputing. We show that this method can solve the small switchbox routing problems with a higher completion rate as compared to the rip-up reroute maze router.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lagrangian method for wire routing of layout design\",\"authors\":\"M. Nagamatu, S. Ismail, T. Yanaru\",\"doi\":\"10.1109/ANNES.1995.499506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new algorithm which solves the routing problem of LSI layout design as a continuous valued constrained optimization problem. All continuous valued wires change their values simultaneously according to the dynamic equations of Lagrangian method, hence this method is suitable for neurocomputing. We show that this method can solve the small switchbox routing problems with a higher completion rate as compared to the rip-up reroute maze router.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"173 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANNES.1995.499506\",\"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 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lagrangian method for wire routing of layout design
In this paper, we propose a new algorithm which solves the routing problem of LSI layout design as a continuous valued constrained optimization problem. All continuous valued wires change their values simultaneously according to the dynamic equations of Lagrangian method, hence this method is suitable for neurocomputing. We show that this method can solve the small switchbox routing problems with a higher completion rate as compared to the rip-up reroute maze router.