摘要
现有的虚拟企业收益分配方法以单一过程为前提,着重于直接分析并提供最终收益分配方案,而没有考虑到时间因素在整个运营过程中的影响,忽略了各影响因素的动态性。本文在虚拟企业的收益分配中增加了时间因素,同时引入激励机制,并结合满意度建立了多目标优化模型,采用Pareto遗传算法进行了优化分析。算例表明所建模型在分析此类问题时较已有方法有一定改善。
Most of the current methods used to determine revenue allocation in virtual enterprises were static. They focused on offering the final alternatives based on one stage. As the result, they neglected the dynamic effects of many factors. A multi-objective optimal model with incentive scheme and satisfaction was suggested based on n-stages. Furthermore, it was analyzed with Pareto genetic algorithm, h showed that it was better than those to an extent.
出处
《预测》
CSSCI
2007年第1期55-58,69,共5页
Forecasting
基金
国家自然科学基金资助项目(70572073)
陕西省社会科学基金资助项目(06E014Z)
