欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了使基于智能体电子商务中协商智能体最大限度地达到协商的最优解，并且提高协商的效率，提出将自适应遗传算法AGA应用于基于智能体电子商务的多边多议题同时出价的协商中．经过1000次实验，标准遗传算法SGA平均需要210次才能达到协商的最优解，而AGA平均仅需要187次．这表明，在基于智能体的电子商务中，自适应遗传算法可以使多边多议题协商中的智能体高效达到协商的最优解．
英文摘要：
To make the negotiation agents gain optimal result and more efficiently to negotiate in multi-agent based e-commerce, an adaptive genetic algorithm is presented and applied in multi-lateral multi- issue simultaneous bidding negotiations. 1 000 times of experiments show that, for satisfying results, the adaptive genetic algorithm averagely needs 210 times run with contrast to 187 times run of the standard genetic algorithm. So it also shows that the adaptive genetic algorithm can gain the optimal negotiation result more efficiently in multi-literal multi-issue negotiation.
同期刊论文项目
同项目期刊论文
期刊信息
位置：