基于离散粒子群算法的多约束多目标优化

Based on Discrete Particle Swarm Algorithm is More Than the Multi-objective Optimization

利用粒子群算法(PSO)提出了一个新的粒子编码方法,并将其用于高校排课问题。通过对某高校的排课数据进行测试,结果表明,本文所提出的改进PSO算法对于解决高校排课问题的优化是有效的,对其它多目标问题地求解也有借鉴意义。

Using particle swarm optimization （PSO） proposed a new particle encoding method, and applied to Course Scheduling problem for colleges and universities. Timetable of a university by test data, experimental results show that the proposed improved PSO algorithm for solving the optimization problem of college course arrangement is effective, For other multi-objective problems is also a valuable reference.