摘要
提出了基于多Agent系统分配具有启动成本的有限资源的两种方法:集中式求解方法和分布式求解方法。在分布式求解方法中,给出了分布式的连续双向拍卖协议算法,其Agent采用零智慧增强学习策略。实验结果表明:相对于集中式求解方法,使用分布式求解方法是以降低部分效率为代价的,但是当市场的总需求逐渐接近所有卖者能提供的最大资源数时,市场平均效率呈现逐渐递增的趋势。
Two methods which are centralized solving method and decentralized solving method are proposed to allocate limited capacity resources with fixed price based on multi-agent system.In the decentralized solving method,a distributed Continuous Double Auction（CDA） protocol is given in which agents adopt Zero Intelligence Plus（ZIP） strategy.The experimental results illus- trate that,compared with centralized solving method,the usage of the decentralized solving method is at the cost of reducing part of efficiency and the market efficiency has a trend to increase as total demand gradually approaches the maximum capacity of the sellers.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第4期219-222,共4页
Computer Engineering and Applications
