Solution Representations and Local Search for the bi-objective Inventory Routing Problem
Barthélemy, Thibaut, Geiger, Martin Josef, Sevaux, Marc
–arXiv.org Artificial Intelligence
The solution of the biobjective IRP is rather challenging, even for metaheuristics. We are still lacking a profound understanding of appropriate solution representations and effective neighborhood structures. Clearly, both the delivery volumes and the routing aspects of the alternatives need to be reflected in an encoding, and must be modified when searching by means of local search. Our work contributes to the better understanding of such solution representations. On the basis of an experimental investigation, the advantages and drawbacks of two encodings are studied and compared.
artificial intelligence, bi-objective inventory routing problem, solution representation and local search, (8 more...)
arXiv.org Artificial Intelligence
Apr-18-2012