摘要
将免疫遗传算法运用到柔性生产中能够极大地改进遗传算法的缺点,提高收敛效果。在此基础上提出了粒子群算法,并与免疫遗传算法进行对比,分析最优结果;将其应用到车间调度中能极大地提高调度路径的优化。运用仿真将克隆免疫算法的调度结果与粒子群算法的调度结果对比,以获得较优的结果。
The immune genetic algorithm applied to flexible manufacruring system can greatly overcome the genetic algorithm＇s shortcomings and improve the convergence effect.In this paper,the PSO was applied to the job shop scheduling,which greatly improved the scheduling path optimization effect.The simulation study on job shop scheduling which was based on immune algorithm and particle swarm optimization was carried out,the simualted results were compared,to achieve the best result.
出处
《机械工程与自动化》
2015年第1期29-31,共3页
Mechanical Engineering & Automation
基金
武汉轻工大学校立创新基金项目(2012cx024)
关键词
粒子群算法
免疫算法
调度优化
仿真
PSO
immune algorithm
optimization scheduling
simulation
