期刊名称：International Journal of Combinatorial Optimization Problems and Informatics
印刷版ISSN：2007-1558
电子版ISSN：2007-1558
出版年度：2010
卷号：1
期号：1
页码：38-49
语种：English
出版社：International Journal of Combinatorial Optimization Problems and Informatics
其他摘要：In this paper the robust capacitated international sourcing problem (RoCIS) is approached. It consists of selecting a subset of suppliers with finite capacity, from an available set of potential suppliers internationally located. This problem was introduced by González-Velarde and Laguna in 2004[1], where they propose a deterministic solution based on Tabu Search memory strategies. In this work a structural and landscape analysis for the larger problem instances is reported, to try of explain the relative hardness observed when the improved tabu solution [11] is applied to solve the instances.
关键词：Adaptive Programming; Tabu Search; Robust Capacitated International Sourcing Problem
