An Enhanced Large Neighborhood Search Approach for the Capacitated Facility Location Problem with Incompatible Customers
arXiv:2605.28337v1 Announce Type: new Abstract: A new variant of the classic capacitated facility location problem, which considers incompatibilities between customers, has recently been introduced in the literature. This problem captures the situation where given pairs of customers cannot be served by the same facility. Such a feature is crucial for many practical cases of location problems, such as the presence of hazardous or polluting materials and contention between competing costumers. In this paper, we propose a Large Neighborhood Search (LNS) method to solve this problem. Within the fr
The continuous evolution of societal and industrial needs drives the development of more complex optimization algorithms for real-world problems, such as facility location with new constraints.
This research addresses a critical practical problem in logistics and resource allocation, where incompatibilities between customers significantly complicate traditional solutions, impacting efficiency and cost.
The proposed Large Neighborhood Search method offers a more robust and adaptable solution for complex facility location challenges, particularly those involving conflicting customer requirements.
- · Logistics and supply chain companies
- · Urban planners
- · Optimization software developers
- · Companies relying on less sophisticated optimization models
- · Sectors experiencing high conflict-of-interest scenarios without advanced soluti
Improved efficiency and cost savings in facility placement and resource allocation for industries with complex customer interaction.
Broader adoption of advanced AI-driven optimization techniques in decision-making for infrastructural and operational planning.
Enhanced resilience and adaptability of supply chains and service networks in the face of unforeseen constraints or evolving demands.
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