A hybrid SCA, projected subgradient, and Lagrangian relaxation framework is proposed for nonconvex, nonsmooth CPT-based resource allocation, outperforming MATLAB's SQP in objective value for larger agent populations in simulations.
Decision making under cumulative prospect theory: An alternating direction method of multipliers,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
contradiction 1
citation-polarity summary
fields
cs.IT 1years
2025 1verdicts
CONDITIONAL 1roles
contradiction 1polarities
contest 1representative citing papers
citing papers explorer
-
Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
A hybrid SCA, projected subgradient, and Lagrangian relaxation framework is proposed for nonconvex, nonsmooth CPT-based resource allocation, outperforming MATLAB's SQP in objective value for larger agent populations in simulations.