Abstract:

In view of the some existing SVMS issues such as data disproportion and strong dependence on the algorithm structure in the process of multi-classification,a new SVM classification algorithm based on genetic algorithms is proposed.The new algorithm considers the crossover in the genetic algorithm as the choice of divisions in the SVM,improves the correction capability during classification by mutation and bases the optimal classification results on the fitness function.Simulation and tests are performed on sample sets with different characteristics and the result shows the algorithm has superiority in data balance,speed and accuracy of classification in the case of multi-classification.

Key words: genetic algorithm;SVM;multi classification