#neural-solvers News & Analysis

2 articles tagged with #neural-solvers. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 297/10

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LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers

Researchers introduce LoRe, a training-free optimization method that dynamically routes computational resources to high-priority interactions in iterative graph solvers, achieving 8× speedup and 12× memory reduction on combinatorial optimization problems while maintaining solution quality.

AINeutralarXiv – CS AI · Jun 96/10

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Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives

Researchers propose a framework for improving the robustness of deep reinforcement learning solvers for multi-objective combinatorial optimization problems by generating adversarial instances that expose weaknesses and training defenses using hardness-aware preference selection. The method demonstrates significant improvements in solver generalizability across traveling salesman, vehicle routing, and knapsack problems.