Untitled

Burkard, Rainer E.; Dollani, Helidon; Thach, Phan Thien

doi:10.1023/a:1008379621400

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2007

2019

Publication Types

Select...

Article3

Other1

Book1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 20 publications

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Heuristic solutions for general concave minimum cost network flow problems

Fontes

Gonçalves

2007

Networks

View full text Add to dashboard Cite

We address the single-source uncapacitated minimum cost network flow problem with general concave cost functions. Exact methods to solve this class of problems in their full generality are only able to address small to medium size instances, since this class of problems is known to be NP-Hard. Therefore, approximate methods are more suitable. In this work, we present a hybrid approach combining a genetic algorithm with a local search. Randomly generated test problems have been used to test the computational performance of the algorithm. The results obtained for these test problems are compared to optimal solutions obtained by a dynamic programming method for the smaller problem instances and to upper bounds obtained by a local search method for the larger problem instances. From the results reported it can be shown that the hybrid methodology improves upon previous approaches in terms of efficiency and also on the pure genetic algorithm, i.e., without using the local search procedure.

show abstract