An ACO-based algorithm for parameter optimization of support vector machines

作者：Zhang, XiaoLi^*; Chen, XueFeng; He, ZhengJia

来源：Expert Systems with Applications, 2010, 37(9): 6618-6628.

DOI：10.1016/j.eswa.2010.03.067

• Ant colony optimization (ACO) algorithm
• Support vector machines (SVM)
• Parameter optimization
• ACO-SVM model

One of the significant research problems in support vector machines (SVM) is the selection of optimal parameters that can establish an efficient SVM so as to attain desired output with an acceptable level of accuracy. The present study adopts ant colony optimization (ACO) algorithm to develop a novel ACO-SVM model to solve this problem. The proposed algorithm is applied on some real world benchmark datasets to validate the feasibility and efficiency, which shows that the new ACO-SVM model can yield promising results.

• 出版日期2010-9
• 单位机械制造系统工程国家重点实验室; 西安交通大学