基于三维免疫遗传算法的高校排课问题研究

摘要

University Timetabling Problem(LJTP) is analyzed detailedly. An optimization mathematical model of UTP is established. The framework structure to solve UTP is founded. According to characteristics of UTP, GA is introduced. A variety of improved schemes are designed, which include:three-dimensional code 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 more effectively.%深入分析了高校排课问题,建立了其数学优化模型,构建了它的基本求解框架.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:三维编码方案、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.