Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/18528
Toàn bộ biểu ghi siêu dữ liệu
Trường DCGiá trị Ngôn ngữ
dc.contributor.authorKilinc, Muslum-
dc.contributor.authorCaicedo, Juan M-
dc.date.accessioned2020-05-30T04:25:29Z-
dc.date.available2020-05-30T04:25:29Z-
dc.date.issued2019-
dc.identifier.issn1687-8086-
dc.identifier.issn1687-8094 (eISSN)-
dc.identifier.otherBBKH1250-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/18528-
dc.descriptionAdvances in Civil Engineering; New York Vol. 2019, (2019). DOI:10.1155/2019/7475156vi
dc.description.abstractIn engineering, optimization applications are commonly used to solve various problems. As widely known, solution of an engineering problem does not have a unique result; moreover, the solution of a unique problem may totally differ from one engineer to another. On the other hand, one of the most commonly used engineering optimization methods is genetic algorithm that leads us to only one global optimum. As to mention, engineering problems can conclude in different results from the point of different engineers’ views. In this study, a modified genetic algorithm named multi-solution genetic algorithm (MsGA) based on clustering and section approaches is presented to identify alternative solutions for an engineering problem. MsGA can identify local optima points along with global optimum and can find numerous solution alternatives. The reliability of MsGA was tested by using a Gaussian and trigonometric function. After testing, MsGA was applied to a truss optimization problem as an example of an engineering optimization problem. The result obtained shows that MsGA is successful at finding multiple plausible solutions to an engineering optima problem.vi
dc.language.isoenvi
dc.publisherHindawi Limitedvi
dc.subjectAircraftvi
dc.subjectAlternativesvi
dc.subjectDesign optimizationvi
dc.subjectProblemsvi
dc.subjectGenetic algorithmsvi
dc.subjectClusteringvi
dc.subjectMutationvi
dc.subjectTrigonometric functionsvi
dc.subjectCivil engineeringvi
dc.titleFinding Plausible Optimal Solutions in Engineering Problems Using an Adaptive Genetic Algorithmvi
dc.typeOthervi
Bộ sưu tập: Bài báo_lưu trữ

Các tập tin trong tài liệu này:
Tập tin Mô tả Kích thước Định dạng  
BBKH1250_TCCN_Finding Plausible Optimal Solutions.pdf
  Giới hạn truy cập
Finding Plausible Optimal Solutions in Engineering Problems Using an Adaptive Genetic Algorithm1.32 MBAdobe PDFXem/Tải về  Yêu cầu tài liệu


Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.