Parallel genetic algorithm with a knowledge base for a redundancy allocation problem considering the sequence of heterogeneous components

作者：

Highlights：

• Optimal component sequence exists for the reliability of a standby system.

• New redundancy allocation problem (RAP) including component sequence is proposed.

• Parallel genetic algorithm with a knowledge base (PGAKB) is suggested for the RAP.

• The PGAKB operates in the form of an expert system, however, develops by itself.

• The PGAKB showed superior performances regarding solution quality and CPU time.

摘要

•Optimal component sequence exists for the reliability of a standby system.•New redundancy allocation problem (RAP) including component sequence is proposed.•Parallel genetic algorithm with a knowledge base (PGAKB) is suggested for the RAP.•The PGAKB operates in the form of an expert system, however, develops by itself.•The PGAKB showed superior performances regarding solution quality and CPU time.

论文关键词：Redundancy allocation problem,Parallel genetic algorithm,Knowledge base,Component sequencing,Heterogeneous components

论文评审过程：Received 19 December 2017, Revised 5 June 2018, Accepted 22 June 2018, Available online 7 July 2018, Version of Record 20 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.06.056