Multi-objective optimisation of machine tool error mapping using automated planning

作者：

Highlights：

• Modelling temporal and measurement uncertainty aspects of machine tool calibration.

• Development of a multi-objective domain-independent error mapping model.

• Experimental analysis containing twelve different calibration instances.

• Results identify the feasibility of multi-objective optimisation results.

• Further optimisation is achieved through the use of High Performance Computing.

摘要

•Modelling temporal and measurement uncertainty aspects of machine tool calibration.•Development of a multi-objective domain-independent error mapping model.•Experimental analysis containing twelve different calibration instances.•Results identify the feasibility of multi-objective optimisation results.•Further optimisation is achieved through the use of High Performance Computing.

论文关键词：Machine tool error mapping,Uncertainty of measurement,Automated planning,PDDL,Multi-objective optimisation

论文评审过程：Available online 9 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.066