Knowledge discovery in multiobjective optimization problems in engineering via Genetic Programming

作者：

Highlights：

• A Genetic Programming approach is proposed for knowledge discovery in Innovization.

• An alternative solution for the treatment of consistency of units is proposed.

• An external file is used to maintain all potential design principles of interest.

• A procedure to avoid obtaining trivial solutions is also included.

• Results indicate that the proposals contribute to the discovery of new solutions.

摘要

•A Genetic Programming approach is proposed for knowledge discovery in Innovization.•An alternative solution for the treatment of consistency of units is proposed.•An external file is used to maintain all potential design principles of interest.•A procedure to avoid obtaining trivial solutions is also included.•Results indicate that the proposals contribute to the discovery of new solutions.

论文关键词：Innovization,Multiobjective optimization,Knowledge discovery,Genetic Programming

论文评审过程：Received 1 August 2017, Revised 14 November 2017, Accepted 4 December 2017, Available online 8 December 2017, Version of Record 3 February 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.12.008