Very Large-Scale Neighborhood Search for the K-Constraint Multiple Knapsack Problem
Journal of Heuristics
Computers and Operations Research
Ant Based Heuristics for the Capacitated Fixed Charge Location Problem
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Benders decomposition, Lagrangean relaxation and metaheuristic design
Journal of Heuristics
Computers and Operations Research
Relaxations and exact solution of the variable sized bin packing problem
Computational Optimization and Applications
Optimizing single-source capacitated FLP in fuzzy decision systems
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Branch-and-Cut-and-Price for Capacitated Connected Facility Location
Journal of Mathematical Modelling and Algorithms
A multi-exchange heuristic for a production location problem
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
An adaptive search heuristic for the capacitated fixed charge location problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
INFORMS Journal on Computing
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We present a very large-scale neighborhood (VLSN) search algorithm for the capacitated facility location problem with single-source constraints. The neighborhood structures are induced by customer multi-exchanges and by facility moves. We consider both traditional single-customer multi-exchanges, detected on a suitably definedcustomer improvement graph, and more innovative multicustomer multi-exchanges, detected on afacility improvement graph dynamically built through the use of a greedy scheme. Computational results for some benchmark instances are reported that demonstrate the effectiveness of the approach for solving large-scale problems. A further test on real data involving an Italian factory is also presented.