A hyper-transformer model for controllable Pareto front learning with split feasibility constraints

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
An MM Algorithm for Split Feasibility Problems
Algorithms for the split variational inequality problem
On the connectedness of the set of weakly efficient points of a vector optimization problem in locally convex spaces
Connectedness of the set of nondominated outcomes in multicriteria optimization
A multiprojection algorithm using Bregman projections in a product space
Contractibility of the efficient set in strictly quasiconcave vector maximization
Multilayer feedforward networks are universal approximators
Optimizing over Pareto set of semistrictly quasiconcave vector maximization and application to stochastic portfolio selection
Neural network for nonsmooth pseudoconvex optimization with general convex constraints
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem
A subgradient algorithm for a class of nonlinear split feasibility problems: application to jointly constrained Nash equilibrium models
Monotonic optimization: Problems and solution approaches
A projection-fixed point method for a class of bilevel variational inequalities with split fixed point constraints
Solving the split feasibility problem without prior knowledge of matrix norms
The multiple-sets split feasibility problem and its applications for inverse problems
Connectedness of the efficient solution set of a convex vector optimization in normed spaces
A unified treatment of some iterative algorithms in signal processing and image reconstruction
Iterative oblique projection onto convex sets and the split feasibility problem
Multicriteria Optimization
Approximation by superpositions of a sigmoidal function
Dynamic string‐averaging CQ‐methods for the split feasibility problem with percentage violation constraints arising in radiation therapy treatment planning
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
Image restorations using a modified relaxed inertial technique for generalized split feasibility problems

This page was built for publication: A hyper-transformer model for controllable Pareto front learning with split feasibility constraints

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6608893)