BBO-BPNN and AMPSO-BPNN for multiple-criteria inventory classification

作者：

Highlights：

• A biogeography-based optimization named as BBO-BPNN is introduced.

• An adaptive mutation particle swarm optimizer AMPSO-BPNN is formed.

• BBO and AMPSO are applied to optimize the training parameters of BPNN.

• Real data cases are adopted to verify the performance of BBO-BPNN and AMPSO-BPNN.

摘要

•A biogeography-based optimization named as BBO-BPNN is introduced.•An adaptive mutation particle swarm optimizer AMPSO-BPNN is formed.•BBO and AMPSO are applied to optimize the training parameters of BPNN.•Real data cases are adopted to verify the performance of BBO-BPNN and AMPSO-BPNN.

论文关键词：Multiple criteria,BBO,AMPSO,Item classification

论文评审过程：Received 22 July 2020, Revised 30 November 2020, Accepted 27 February 2021, Available online 10 March 2021, Version of Record 31 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114842