arXiv:2607.03694v1 Announce Type: new Abstract: Large-scale Capacitated Vehicle Routing Problems (CVRPs) are commonly solved by partitioning customers into smaller routing problems that can be optimized independently. While this substantially reduces computational complexity, independently constructed routing solutions may leave some customer demand unserved even when sufficient resources exist elsewhere in the fleet. We present Collaborative Routing Constructors (CoRC), a routing framework that enables independently solved subproblems to exchange customers and vehicles during optimization rat
The increasing complexity and scale of logistics and supply chain challenges, especially in last-mile delivery and autonomous systems, necessitate more sophisticated optimization techniques.
This development promises to significantly improve the efficiency and robustness of large-scale vehicle routing problems, directly impacting operational costs and service reliability for numerous industries.
The ability to collaboratively optimize routing subproblems means that distributed systems can achieve higher overall efficiency and adaptability, reducing unserved demand even in dynamic environments.
- · Logistics companies
- · E-commerce platforms
- · Supply chain software providers
- · Autonomous vehicle operators
- · Companies relying on inefficient routing algorithms
- · Legacy last-mile delivery services
Reduced operational costs and improved service delivery for logistics-heavy businesses.
Accelerated adoption of more complex and distributed AI-driven optimization solutions across various industries.
Enhanced resilience of global supply chains against disruptions due to flexible and robust routing capabilities.
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Read at arXiv cs.AI