Dual HRKAN framework (DPIKAN-TO) for topology optimization with one network predicting displacements and another handling sensitivity-based design updates.
A parametric, second-order cone representable model of fairnessfordecision-makingproblems
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Proposes ε-Fair-MTSP (MISOCP) and Δ-Fair-MTSP (MILP) as parametric alternatives to min-max MTSP with optimality guarantees and Pareto-front extraction for bi-objective routing.
citing papers explorer
-
A Dual Physics-Informed Kolmogorov-Arnold Neural Network Framework for Continuum Topology Optimization
Dual HRKAN framework (DPIKAN-TO) for topology optimization with one network predicting displacements and another handling sensitivity-based design updates.
-
Equitable Routing--Rethinking the Multiple Traveling Salesman Problem
Proposes ε-Fair-MTSP (MISOCP) and Δ-Fair-MTSP (MILP) as parametric alternatives to min-max MTSP with optimality guarantees and Pareto-front extraction for bi-objective routing.