基于NSGAII的协同产品开发项目自动协商决策

发布时间：2018-07-11 10:29

本文选题：供应链管理 + 自动协商　；参考：《运筹与管理》2017年03期

【摘要】：供应链环境下的协同产品开发项目中,核心企业与合作企业之间,需要对项目工期、预算和质量进行协商。科学高效的协商决策方法有助于协同产品开发项目参与各方实现双赢的协商目标。采用多Agent系统建立了协商问题的框架,构建了协商Agent以自身效用最大化和与对方建议相似度最大化为目标的多目标反建议模型;提出了基于NSGAII的自动协商决策算法,算法采用了正整数和小数混合的实数编码方式,并在遗传操作中增加了约束限制,剔除不可行个体。计算机仿真实验结果表明了算法对提高协商成功率和协商效果的有效性,说明了协商Agent可接受的最低效用值对于协商结果的影响。
[Abstract]:In the collaborative product development project under the supply chain environment, the core enterprise and the cooperative enterprise need to negotiate the project time, the budget and the quality. The scientific and efficient negotiation decision method helps the cooperation of the product development project to achieve the win-win negotiation goal. The framework of the negotiation problem is established by using the multi Agent system. The multi-objective anti suggestion model of Agent is negotiated with the maximization of its own utility and the maximization of the similarity between the other and the other. An automatic negotiation decision algorithm based on NSGAII is proposed. The algorithm uses a real number coding method mixed with positive integers and decimal numbers, and the constraint constraints are added to the genetic operation, and the infeasible individual is eliminated. Computer simulation is eliminated. The experimental results show the effectiveness of the algorithm to improve the negotiation success rate and negotiation effect, and the effect of the minimum utility value acceptable to the negotiation of Agent on the negotiation results.
【作者单位】：华南师范大学公共管理学院;广东财经大学金融学院;中国电信股份有限公司广东分公司销售及渠道拓展事业部;
【基金】：国家自然科学基金青年科学基金项目(71102146);国家自然科学基金面上项目(71272084) 教育部人文社会科学研究青年基金资助项目(大规模定制下时变客户需求的产品配置动态更新优化与管理应用研究:12YJC630278) 广东财经大学校级科研项目(11YB63001)
【分类号】：C934

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