Multiple-objective optimisation of machining operations based on neural networks

Jun Wang

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)


Metal cutting plays an important role in manufacturing industries. Optimisation of cutting parameters represents a key component in machining process planning. In this paper, a neural network based approach to multiple-objective optimization of cutting parameters is presented. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers' preference structures. To demonstrate the procedure and performance of the neural network approach, an illustrative example is discussed in detail.

Original languageEnglish
Pages (from-to)235-243
Number of pages9
JournalThe International Journal of Advanced Manufacturing Technology
Issue number4
Publication statusPublished - Jul 1993
Externally publishedYes


  • Cutting parameter optimisation
  • Machining operations
  • Metal cutting
  • Neural networks


Dive into the research topics of 'Multiple-objective optimisation of machining operations based on neural networks'. Together they form a unique fingerprint.

Cite this