采用十进制免疫遗传算法求解高校排课问题  

Decimal immunization GA used to solve UTP

作　　者：李红婵[1] 朱颢东[1] 

机构地区：[1]郑州轻工业学院计算机与通信工程学院,郑州450002

出　　处：《系统工程理论与实践》2012年第9期2031-2036,共6页Systems Engineering-Theory & Practice

基　　金：河南省基础与前沿技术研究计划项目(102300410266;122300410287);郑州轻工业学院博士科研基金(2010BSJJ038)

摘　　要：论文深入分析了高校排课问题,建立了其数学优化模型,构建了其基本求解框架.针对高校排课问题的特点,引入遗传算法来加以解决,设计了多种改进方案,包括:十进制编码方案、初始种群生成方案、适应度函数设计方案、免疫策略、自适应交叉概率和自适应变异概率设计方案.仿真结果表明该算法能够满足高校排课问题的多重约束条件,能更有效地解决高校排课问题.University timetabling problem （UTP） was analyzed detailedly, an optimization mathematical model of UTP was established, and the framework structure to solve UTP was found. According to characteristics of UTP, GA was introduced, a variety of improved schemes were designed, includes： decimal coding scheme, initial population design scheme, fitness function design scheme, immunization strategy, adaptive crossover probability and adaptive mutation probability design scheme. Simulation results show that the proposed GA can satisfy multiple constraint conditions and resolve UTP mor~ efl＇~ethr^l,

关 键 词：高校排课问题 遗传算法 十进制编码 适应度函数 免疫策略 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]