Group Multi-Role Assignment With Conflicting Roles and Agents

作     者：Haibin Zhu Haibin Zhu

作者机构：IEEE Department of Computer Science and MathematicsNipissing UniversityNorth BayOntarioP1B 8L7Canada 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2020年第7卷第6期

页      面：1498-1510页

核心收录：

学科分类：12[管理学] 0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by Natural Sciences and Engineering Research Council,Canada(NSERC)(RGPIN-2018-04818) the funding from the Innovation for Defence Excellence and Security(IDEaS)Program from the Canadian Department of National Defence(DND)。 

主　　题：Group Multi-Role Assignment With Conflicting Roles and Agents 

摘      要：Group role assignment(GRA)is originally a complex problem in role-based collaboration(RBC).The solution to GRA provides modelling techniques for more complex problems.GRA with constraints(GRA+)is categorized as a class of complex assignment problems.At present,there are few generally efficient solutions to this category of problems.Each special problem case requires a specific solution.Group multi-role assignment(GMRA)and GRA with conflicting agents on roles(GRACAR)are two problem cases in GRA+.The contributions of this paper include:1)The formalization of a new problem of GRA+,called group multi-role assignment with conflicting roles and agents(GMAC),which is an extension to the combination of GMRA and GRACAR;2)A practical solution based on an optimization platform;3)A sufficient condition,used in planning,for solving GMAC problems;and 4)A clear presentation of the benefits in avoiding conflicts when dealing with GMAC.The proposed methods are verified by experiments,simulations,proofs and analysis.