Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines

作者：

Highlights：

• Outpost mechanism and multi-swarm mechanism are introduced into FOA.

• The enhanced FOA is used for constructing an evolutionary support vector machine.

• Classic and CEC benchmark problems are used to verify the proposed method.

• The proposed method is also applied for predicting the financial stress problems.

摘要

•Outpost mechanism and multi-swarm mechanism are introduced into FOA.•The enhanced FOA is used for constructing an evolutionary support vector machine.•Classic and CEC benchmark problems are used to verify the proposed method.•The proposed method is also applied for predicting the financial stress problems.

论文关键词：Fruit fly optimization algorithm,Parameter optimization,Outpost mechanism,Multi-population mechanism,Support vector machine

论文评审过程：Received 1 March 2019, Revised 30 September 2019, Accepted 1 October 2019, Available online 9 October 2019, Version of Record 19 October 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112999