{"title":"FPRM Circuit Area Optimization Based on MRFOtent Algorithm","authors":"Jiahui Lu, Sheng-sheng Wang","doi":"10.1109/icet55676.2022.9824323","DOIUrl":null,"url":null,"abstract":"The FPRM circuit area corresponding to different polarities varies, and it is a very important task to find the optimal polarity of the circuit to save circuit area when possible. In order to better solve the problem, an MRFOtent optimization algorithm is proposed in this paper. The algorithm adds tent chaos mapping to the manta ray foraging algorithm, and enhances the search capability by combining the two to achieve better optimization results. The efficiency of this algorithm for FPRM circuit area optimization is demonstrated by testing 11 MCNC Benchmark circuits and comparing with other algorithms.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icet55676.2022.9824323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The FPRM circuit area corresponding to different polarities varies, and it is a very important task to find the optimal polarity of the circuit to save circuit area when possible. In order to better solve the problem, an MRFOtent optimization algorithm is proposed in this paper. The algorithm adds tent chaos mapping to the manta ray foraging algorithm, and enhances the search capability by combining the two to achieve better optimization results. The efficiency of this algorithm for FPRM circuit area optimization is demonstrated by testing 11 MCNC Benchmark circuits and comparing with other algorithms.