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Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Publikováno v:
Journal of Research and Development on Information and Communication Technology. 2021:1-18
In the real world, multi-objective problems(MOPs) are relatively common in optimization in the areasof design, planning, decision support... In fact, problemsinclude two or many objectives, there is a class of problemscalled expensive problems that a
Autor:
Trung, Nguyen Thanh, Hung, Nguyen Huu, Chi, Thai Thi Kim, Dinh, Nguyen Duc Thi Thu, Dung, Bui Ngoc, Chinh, Vu Dan
Publikováno v:
Structural Control & Health Monitoring; Dec2022, Vol. 29 Issue 12, p1-23, 23p
Publikováno v:
ICICT
Multi-objective problems (MOPs) consist of at least two objectives and they conflict with each other. A class of expensive problems is one of multi-objective problem class, that requires high costs for large calculations, large space, and large numbe
Publikováno v:
KSE
Solving expensive problems in the field of multi-objective optimization is an issue that researchers have been interested in and recently studied. In fact, expensive problems are quite common, which poses the need for effective methods to solve this
Autor:
Huong, Nguyen Thi Thanh, Bao, Ho Dinh, Hoai, Cao Thi, Hang, Phan Thi, Son, Ngo The, Kieu, Dang Thi Thuy, Quyen, Nguyen Thi Ngoc, Dinh, Nguyen Duc, Phan, Tran Thi Xuan, Anh, Pham Tuan, Thy, Pham Thi Mai, Diep, Nguyen Thi Hong
Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2022, Vol. 964, p1-9, 9p
Publikováno v:
Frontiers in Intelligent Computing: Theory and Applications ISBN: 9789813291850
In the real world, it often has multiple objectives (the objectives are often conflicting) in optimization problems. In many cases, a single solution is not being optimized with regards to all objectives. Dealing the problems, Multi-objective Evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b22c8b8f7f20fa2d81044a4481a7abe6
https://doi.org/10.1007/978-981-32-9186-7_5
https://doi.org/10.1007/978-981-32-9186-7_5
Publikováno v:
ISCIT
This paper suggests to use rank sum technique to enhance multiobjective evolutionary algorithms (MOEAs), specifically for MOEAs using directional information. We introduce Rank based Converge Direction (RCD) and Rank based Spread Direction (RSD) for
Autor:
Ly Tong Thi, Lam Nguyen Tung, Dinh Nguyen Duc, Cuong Nguyen Manh, Dung Pham Tien, Manh Tran Van
Publikováno v:
2019 International Conference on System Science and Engineering (ICSSE).
A tension control problem of a roll-to-roll web handling system is considered in the paper. It is shown that the dynamical response of the web handing system heavily depends on roll inertia. Dissimilar to other researches that based on the assumption