A simulated annealing approach for optimization of multi-pass turning operations

Mu-Chen Chen, D. M. Tsai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

125 Scopus citations


In this paper, an optimization algorithm based on the simulated annealing (SA) algorithm and the Hooke-Jeeves pattern search (PS) is developed for optimization of multi-pass turning operations. The cutting process is divided into multi-pass rough machining and finish machining. Machining parameters are determined to optimize the cutting conditions in the sense of the minimum unit production cost under a set of practical machining constraints. Experimental results indicate that the proposed nonlinear constrained optimization algorithm, named SA/PS, is effective for solving complex machining optimization problems. The SA/PS algorithm can be integrated into a CAPP system for generating optimal machining parameters.

Original languageEnglish
Pages (from-to)2803-2825
Number of pages23
JournalInternational Journal of Production Research
Issue number10
StatePublished - 1 Jan 1996

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