Multi-objective optimization model for grouping reviewers of social examination

作     者：Wang, Ding-Wei Liu, Zhu 

作者机构：Sch. of Info. Sci. and Eng. Northeastern Univ. Shenyang 110004 China 

出 版 物：《Kongzhi yu Juece/Control and Decision》 (Kongzhi yu Juece Control Decis)

年 卷 期：2004年第19卷第9期

页      面：1026-1029页

核心收录：

主　　题：Information management 

摘      要：To solve the grouping reviewer problem of social examination, a nonlinear 0-1 integer programming with multi-objectives optimization is presented. Its two objectives are to minimize the total error rate and to maximize the total reviewing speed. A weighted sum method based on fuzzy satisfactory levels of objectives is proposed to treat the multiple objectives. Then, a genetic algorithm with sequence encoding and PMX crossover is developed to solve this kind of problems. The computation on a large number of examples with practical data shows the satisfactory results of the methods in practical applications.