Title :
Multi-Stage Partner Selection Based on Genetic-Ant Colony Algorithm in Agile Supply Chain Network
Author :
Lin, Zheng ; Wang, Lubin
Abstract :
It is shown that partner selection in agile supply chain network can be represented as a directed graph model. This paper considers multi-stages in this process instead of one. The natures of the proposed model enable us to design a meta-heuristic algorithm-GACA which combined the pros part of ACOA and GA for solving the good path search problem. Computational results show the efficiency of our algorithm in compare to the other techniques.
Keywords :
directed graphs; genetic algorithms; search problems; supply chain management; ACOA; GACA algorithm; agile supply chain network; directed graph model; genetic-ant colony optimization algorithm; meta-heuristic algorithm; multistage partner selection; path search problem; Algorithm design and analysis; Ant colony optimization; Computer networks; Costs; Finance; Genetic algorithms; Job shop scheduling; Scheduling algorithm; Search problems; Supply chains; Partner selection; agile supply chain network; ant colony optimization algorithm; genetic algorithm;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.400
