An Approach to Optimize Lab-Seat Allocation Problem Based on Multi-Agent Negotiation

Kai Li, Lei Niu, Yang Yang, Yuchen Wang
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Abstract

China’s higher education level is rising year by year, the traditional method of allocating “One seat per person” cannot cope with the growth in the number of students in universities. Existing approaches focus more on space utilization and less on the students’ feelings. But in fact, students are more willing to go to the lab and are more productive if they have a satisfactory lab-seat. Therefore, new and more effective methods are needed. This paper uses multi-agent negotiation method to solve the problem. Students and laboratory administrator are independent agents and the negotiations between agents determine the final allocation. Both parties adjust their offer during the negotiation process using a concession strategy based on time constraints and result in a max overall utility finally.
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基于多智能体协商的实验室座位分配优化方法
中国的高等教育水平正在逐年上升,传统的“一人一席”的分配方式已经不能适应大学学生数量的增长。现有的方法更多地关注空间的利用,而不是学生的感受。但事实上,学生们更愿意去实验室,如果他们有一个满意的实验室座位,他们的工作效率也会更高。因此,需要新的和更有效的方法。本文采用多智能体协商方法来解决这一问题。学生和实验室管理员是独立的代理,代理之间的协商决定最终的分配。在谈判过程中,双方基于时间约束,采用让步策略调整报价,最终达到整体效用最大化。
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