A multilevel block building algorithm for fast modeling generalized separable systems

作者：

Highlights：

• Defined a generalized separability (GS) to handle repeated variables.

• Proposed a multilevel block building (MBB) algorithm to determine the target function of a GS system.

• MBB decomposes the target model into a number of blocks, further into minimal blocks and factors.

• MBB is a promising algorithm for modeling engineering systems with separability features.

摘要

•Defined a generalized separability (GS) to handle repeated variables.•Proposed a multilevel block building (MBB) algorithm to determine the target function of a GS system.•MBB decomposes the target model into a number of blocks, further into minimal blocks and factors.•MBB is a promising algorithm for modeling engineering systems with separability features.

论文关键词：Symbolic regression,Genetic programming,Generalized separability,Multilevel block building

论文评审过程：Received 27 June 2017, Revised 1 May 2018, Accepted 18 May 2018, Available online 19 May 2018, Version of Record 24 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.05.021