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中文摘要：
针对一个生产大型机械产品（如架桥机等）的企业的焊接车间的调度问题进行研究，对埘位工人加工，1个结构件的随机调度问题建立数学模型，并以最小化最大的加工完成时间的期望与方差为优化目标。为求解该模型，对二进制粒子群算法（BPSO）进行改进，并采用动态领域策略、新的粒子个体极值选择以及一维优化方法求解双目标优化问题．通过实例仿真，结果证实修改后的算法是有效的，并能够找到Pareto前沿解。
英文摘要：
The scheduling problem was based on a real welding workshop in a large manufacturing enterprise. A stochastic scheduling problem consisting of m workers and n jobs was dealt with and a mathematic model was developed to minimize maximum expected value and variance of the completion time. In order to solve the problem, Binary Particle Swarm Optimization （BPSO） algorithm was modified, and a dynamic neighborhood strategy, new particle memory updating, and one-dimension optimization method were used to solve two objectives problem. A simulation example was carried out to illustrate that the improved method could efficiently find Pareto front solutions.
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