{"title":"An Approach of Multidisciplinary Optimization to Underwater Vehicle Profile Design","authors":"Weilin Luo, Taichun Rao","doi":"10.1109/ICIST.2018.8426127","DOIUrl":null,"url":null,"abstract":"The parallel multidisciplinary optimization design is proposed in this paper to improve the hydrodynamic performance of underwater vehicle. An isight optimization platform is constructed in which the optimal Latin hypercube algorithm is selected as the experimental design method, and the RBF neural network is used to construct the approximate model. The simulated annealing algorithm is taken as the optimization algorithm. By using the optimization strategy proposed, the drag and energy consumption are significantly reduced, which demonstrates the validity of the proposed optimization method.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eighth International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2018.8426127","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 parallel multidisciplinary optimization design is proposed in this paper to improve the hydrodynamic performance of underwater vehicle. An isight optimization platform is constructed in which the optimal Latin hypercube algorithm is selected as the experimental design method, and the RBF neural network is used to construct the approximate model. The simulated annealing algorithm is taken as the optimization algorithm. By using the optimization strategy proposed, the drag and energy consumption are significantly reduced, which demonstrates the validity of the proposed optimization method.