{"title":"A generalized MATLAB-based distributed-computing optimization tool","authors":"K. Lysiak, J. Polendo","doi":"10.1109/WCACEM.2005.1469554","DOIUrl":null,"url":null,"abstract":"A distributed computing optimization architecture was developed by SwRI for use with numerical solvers. This optimization toolbox is very generalized and can be easily adapted to use with any numerical solver having a well-described input and output file system. In combination with the use of MATLAB, this makes it a very flexible and powerful analysis and development tool. The tool employs an optimization routine, input file modification routines to generate numerous solver input files, and output extraction routines to extract the pertinent solver output data. Specifically, advanced development has been done using the numerical electromagnetic code (NEC) ante wire/plate with dielectrics (WIPL-D), genetic algorithm optimization toolbox (GAOT) and CONDOR/sup /spl reg// to demonstrate proof-of-concept.","PeriodicalId":368249,"journal":{"name":"IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCACEM.2005.1469554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A distributed computing optimization architecture was developed by SwRI for use with numerical solvers. This optimization toolbox is very generalized and can be easily adapted to use with any numerical solver having a well-described input and output file system. In combination with the use of MATLAB, this makes it a very flexible and powerful analysis and development tool. The tool employs an optimization routine, input file modification routines to generate numerous solver input files, and output extraction routines to extract the pertinent solver output data. Specifically, advanced development has been done using the numerical electromagnetic code (NEC) ante wire/plate with dielectrics (WIPL-D), genetic algorithm optimization toolbox (GAOT) and CONDOR/sup /spl reg// to demonstrate proof-of-concept.
SwRI开发了一个用于数值求解的分布式计算优化体系结构。这个优化工具箱非常一般化,可以很容易地与任何具有良好描述的输入和输出文件系统的数值求解器一起使用。结合MATLAB的使用,这使得它成为一个非常灵活和强大的分析和开发工具。该工具使用优化例程、输入文件修改例程来生成大量求解器输入文件,以及输出提取例程来提取相关的求解器输出数据。具体来说,先进的开发已经完成,使用数值电磁代码(NEC) ante wire/plate with dielectric (WIPL-D),遗传算法优化工具箱(GAOT)和CONDOR/sup /spl reg//来演示概念验证。