A. Muzy, E. Innocenti, A. Aiello, J. Santucci, Gabriel A. Wainer
{"title":"Methods for special applications: Cell-DEVS quantization techniques in a fire spreading application","authors":"A. Muzy, E. Innocenti, A. Aiello, J. Santucci, Gabriel A. Wainer","doi":"10.5555/1030453.1030529","DOIUrl":null,"url":null,"abstract":"We present the use of the CD++ tool to model and simulate forest fire-spread. A semi-physical fire spread model is implemented using the Cell-DEVS formalism. The use of Cell-DEVS enables proving the correctness of the simulation engines and permits to model the problem even by a non-computer science specialist. The high level language of CD++ reduces the algorithmic complexity for the modeler while allowing complex cellular timing behaviors. Different Cell-DEVS quantization techniques are used and developed to decrease execution time. The study is realized regarding time improvement and trades-off between model evolution, simulation time and incurred error. Finally, based on experimentations, interesting perspectives are defined to develop new quantization techniques.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Online World Conference on Soft Computing in Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/1030453.1030529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
We present the use of the CD++ tool to model and simulate forest fire-spread. A semi-physical fire spread model is implemented using the Cell-DEVS formalism. The use of Cell-DEVS enables proving the correctness of the simulation engines and permits to model the problem even by a non-computer science specialist. The high level language of CD++ reduces the algorithmic complexity for the modeler while allowing complex cellular timing behaviors. Different Cell-DEVS quantization techniques are used and developed to decrease execution time. The study is realized regarding time improvement and trades-off between model evolution, simulation time and incurred error. Finally, based on experimentations, interesting perspectives are defined to develop new quantization techniques.