Pages that link to "Item:Q647392"
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The following pages link to Approximation algorithms for supply chain planning and logistics problems with market choice (Q647392):
Displaying 17 items.
- Improved approximation algorithm for \(k\)-level uncapacitated facility location problem (with penalties) (Q260252) (← links)
- On the transportation problem with market choice (Q479018) (← links)
- Improved approximation algorithms for the facility location problems with linear/submodular penalties (Q747629) (← links)
- Approximation of the supply scheduling problem (Q1779701) (← links)
- Approximation algorithms for the transportation problem with market choice and related models (Q1785305) (← links)
- On a cardinality-constrained transportation problem with market choice (Q1785735) (← links)
- A unified dual-fitting approximation algorithm for the facility location problems with linear/submodular penalties (Q2015801) (← links)
- Joint client selection and contract design for a risk-averse commodity broker in a two-echelon supply chain (Q2070715) (← links)
- Concave connection cost facility location and the star inventory routing problem (Q2117697) (← links)
- An approximation algorithm for the \(n\)th power metric facility location problem with linear penalties (Q2359406) (← links)
- Approximation algorithms for the fault-tolerant facility location problem with penalties (Q2422738) (← links)
- From Cost Sharing Mechanisms to Online Selection Problems (Q3449447) (← links)
- Approximation Algorithms for a Class of Stochastic Selection Problems with Reward and Cost Considerations (Q4971383) (← links)
- Primal-dual based distributed approximation algorithm for Prize-collecting Steiner tree (Q5012805) (← links)
- A per-scenario bound for the two-stage stochastic facility location problem with linear penalty (Q5169466) (← links)
- Supply Chain Management with Online Customer Selection (Q5740223) (← links)
- Towards global solutions for nonconvex two-stage stochastic programs: a polynomial lower approximation approach (Q6622759) (← links)