Simulation research on University Timetabling Problem based on new immune GA

University Timetabling Problem (UTP) approach based on a new immune GA is presented in this paper. The method introduced a new immune GA to UTP research according to the characteristics of UTP. Firstly, an optimization mathematical model of UTP is established and the framework structure for solving UTP is founded. Secondly, a new immune GA method is applied to improve the traditional design scheme, which includes a new binary code scheme, initial population design scheme, fitness function design scheme, immunization strategy, adaptive crossover probability and adaptive mutation probability design scheme. Lastly, the simulation results and analysis are presented, which testify our proposed approach can satisfy multiple constraint conditions and resolve UTP more effectively.