A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints

Author:

Tuan Tran AnhORCID,Dung Nguyen Viet,Thang Tran Ngoc

Funder

Epistar Corporation

Digital Technology Center, University of Minnesota

University of Science, Vietnam National University, Hanoi

Publisher

Elsevier BV

Reference74 articles.

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3. Neural network for nonsmooth pseudoconvex optimization with general convex constraints;Bian;Neural Networks,2018

4. Binh, T. T., & Korn, U. (1997). MOBES: A multiobjective evolution strategy for constrained optimization problems. In The third international conference on genetic algorithms, vol. 25 (p. 27).

5. Dynamic string-averaging CQ-methods for the split feasibility problem with percentage violation constraints arising in radiation therapy treatment planning;Brooke;International Transactions in Operational Research,2021

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