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Original Articles

Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts

Pages 1899-1922 | Published online: 14 Nov 2010

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (19)

Kaiping Luo. (2022) A sequence learning harmony search algorithm for the flexible process planning problem. International Journal of Production Research 60:10, pages 3182-3200.
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Xiwu Sun, Xuening Chu, Deyi Xue, Yuliang Su & Censhu Tang. (2012) An integrated setup/fixture planning approach for machining prismatic parts. International Journal of Production Research 50:4, pages 1009-1027.
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Xun Xu, Lihui Wang & StephenT. Newman. (2011) Computer-aided process planning – A critical review of recent developments and future trends. International Journal of Computer Integrated Manufacturing 24:1, pages 1-31.
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Xiwu Sun, Xuening Chu, Yuliang Su & Censhu Tang. (2010) A new directed graph approach for automated setup planning in CAPP. International Journal of Production Research 48:22, pages 6583-6612.
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T. Derelİ & A. Baykasoğlu. (2005) OPPS-PRI 2.0: an open and optimized process planning system for prismatic parts to improve the performance of SMEs in the machining industry. International Journal of Production Research 43:5, pages 1039-1087.
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W. D. Li, S. K. Ong & A. Y. C. Nee. (2004) Optimization of process plans using a constraint-based tabu search approach. International Journal of Production Research 42:10, pages 1955-1985.
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