针对群体智能和约束优化问题的特点,提出了将QPSO算法应用于求解约束优化问题,证明QPSO算法在SVM领域中具有很高的应用价值,并为解决大规模的QP问题开辟了一条新的途径。
According to the characters of swarm intelligence and constrained optimization, this paper proposed a method to solve a linearly constrained quadratic optimization problem in training support vector machines with QPSO. Testified QPSO has determinate applied value in the field of support vector machines, and it is a new way for quadratic programming problem with a large number of example vectors.