SPO: Discovering Adaptive Large Neighborhood Search Operators via Stackelberg Program Optimization
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
- Large Neighborhood Search based on Neural Construction Heuristics
- VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
- LoRA: Low-Rank Adaptation of Large Language Models
- SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems
- Decoupled Weight Decay Regularization
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
- Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search
- New Adaptive Mechanism for Large Neighborhood Search using Dual Actor-Critic
- G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection