近年来，一些学者将PSO算法推广到约束优化问题，其关键在于如何处理好约束，即解的可行性。如果约束处理的不好，其优化的结果往往会出现不能够收敛和结果是空集的状况。(In recent years, some scholars have extended the PSO algorithm to the constrained optimization problem, and the key is how to deal with the constraints, that is, the feasibility of the solution. If the constraint is not good, the optimization results are often not able to convergence and the results is empty of)