提出一种动态多议题协商模型(DMNM),该模型由环境分析模型(PCCM)和协商决策模型(NDM)两部分组成.PCCM利用生态学中的种群自生长原理,结合种群密度变化情况对竞争及合作环境进行有效分析.NDM通过引入个体战略特征提高决策模型的灵活性,并利用一种基于协同进化的混合优化算法(CE-HOA)实现多议题让步平衡,以保证决策者的利益.实验结果表明,提出的协商模型(DMNM)不仅能够有效平衡决策者对当前利益和长远利益的选择,而且最大化地保证了决策者的收益.CE-HOA算法在保证解质量的前提下提高了搜索效率,使得决策过程更为高效.%This paper presented a dynamic multi-issue negotiation model (DMNM).the model is composed of two parts: the environment model (PCCM) and decision-making model (NDM). PCCM uses the population growth theory of the ecology, combines with changes in population density to effectively analyse the competition and collaborative environment By introducing the characteristics of individual decision-making, NDM improves flexibility, and applies a hybrid optimization algorithm (CE-HOA) based on co-evolution to achieve concessions balance on the multiple issues, to ensure that the interests of decision makers. Experiment the results show that the negotiation model (DMNM) not only can effectively balance the selection of short-term interests and long-term interests, but ensure makers to obtain maximum benefits. In additional,CE-HOA algorithm improves the efficiency of search under the premise of ensuring the result quality,so that decision-making process is more efficient
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