Title of article :
Applying RFD to Construct Optimal Quality-Investment Trees
Author/Authors :
Rabanal, Pablo Universidad Complutense de Madrid - Facultad de Informática - Dept Sistemas Informáticos y Computación, Spain , Rodríguez, Ismael Universidad Complutense de Madrid - Facultad de Informática - Dept Sistemas Informáticos y Computación, Spain , Rubio, Fernando Universidad Complutense de Madrid - Facultad de Informática - Dept Sistemas Informáticos y Computación, Spain
Abstract :
Abstract: River Formation Dynamics (RFD) is an evolutionary computation method based on copying how drops form rivers by eroding the ground and depositing sedi- ments. Given a cost-evaluated graph, we apply RFD to find a way to connect a given set of origins with a given destination in such a way that distances from origins to the destination are minimized (thus improving the quality of service) but costs to build the connecting infrastructure are minimized (thus reducing investment expenses). After we prove the NP-completeness of this problem, we apply both RFD and an Ant Colony Optimization (ACO) approach to heuristically solve it, and some experimental results are reported.
Keywords :
River Formation Dynamics , Ant Colony Optimization Algorithms , Heuristic Algorithms , NP , hard problems
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)