{"title":"扩展设计空间优化启发式随机有色Petri网","authors":"C. Bodenstein, A. Zimmermann","doi":"10.1109/SYSCON.2015.7116742","DOIUrl":null,"url":null,"abstract":"Automatic design optimization of complex systems is a time-consuming task. This paper presents multiphase variants of well-known heuristics for an efficient indirect system optimization with simulation. The tradeoff between accuracy and achievable speedup is analyzed for examples including a benchmark function as well as simulated values for a stochastic colored Petri net application. The analysis are carried out with TOE (TimeNET optimization environment), a software prototype implemented for this task recently.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Extending design space optimization heuristics for use with stochastic colored Petri nets\",\"authors\":\"C. Bodenstein, A. Zimmermann\",\"doi\":\"10.1109/SYSCON.2015.7116742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic design optimization of complex systems is a time-consuming task. This paper presents multiphase variants of well-known heuristics for an efficient indirect system optimization with simulation. The tradeoff between accuracy and achievable speedup is analyzed for examples including a benchmark function as well as simulated values for a stochastic colored Petri net application. The analysis are carried out with TOE (TimeNET optimization environment), a software prototype implemented for this task recently.\",\"PeriodicalId\":251318,\"journal\":{\"name\":\"2015 Annual IEEE Systems Conference (SysCon) Proceedings\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Annual IEEE Systems Conference (SysCon) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSCON.2015.7116742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSCON.2015.7116742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extending design space optimization heuristics for use with stochastic colored Petri nets
Automatic design optimization of complex systems is a time-consuming task. This paper presents multiphase variants of well-known heuristics for an efficient indirect system optimization with simulation. The tradeoff between accuracy and achievable speedup is analyzed for examples including a benchmark function as well as simulated values for a stochastic colored Petri net application. The analysis are carried out with TOE (TimeNET optimization environment), a software prototype implemented for this task recently.
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