A branch-and-bound method for the fixed charge transportation problem
Management Science
Minimum concave-cost network flow problems: applications, complexity, and algorithms
Annals of Operations Research
A solution approach to the fixed charge network flow problem using a dynamic slope scaling procedure
Operations Research Letters
A bilinear reduction based algorithm for solving capacitated multi-item dynamic pricing problems
Computers and Operations Research
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
A heuristic method for the minimum toll booth problem
Journal of Global Optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
The maximum flow problem with minimum lot sizes
ICCL'11 Proceedings of the Second international conference on Computational logistics
Journal of Combinatorial Optimization
Concave minimum cost network flow problems solved with a colony of ants
Journal of Heuristics
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We approximate the objective function of the fixed charge network flow problem (FCNF) by a piecewise linear one, and construct a concave piecewise linear network flow problem (CPLNF). A proper choice of parameters in the CPLNF problem guarantees the equivalence between those two problems. We propose a heuristic algorithm for solving the FCNF problem, which requires solving a sequence of CPLNF problems. The algorithm employs the dynamic cost updating procedure (DCUP) to find a solution to the CPLNF problems. Preliminary numerical experiments show the effectiveness of the proposed algorithm. In particular, it provides a better solution than the dynamic slope scaling procedure in less CPU time.