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International Journal of Computer Integrated Manufacturing Volume 31, 2018 - Issue 8: Smart Automation and Manufacturing
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Original Articles

A simulated annealing algorithm with neighbourhood list for capacitated dynamic lot-sizing problem with returns and hybrid products

Pakayse KokenSystems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, State University of New York at Binghamton, Binghamton, NY, USA
,
Hyesung SeokDepartment of Industrial Engineering, Hongik University, Seoul, Republic of Korea
&
Sang Won YoonSystems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, State University of New York at Binghamton, Binghamton, NY, USACorrespondence[email protected]
Pages 739-747 | Received 04 Dec 2016, Accepted 01 Nov 2017, Published online: 12 Dec 2017

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Read on this site (2)

D. V. N. Ananth & K. S. T. Vineela. (2021) A review of different optimisation techniques for solving single and multi-objective optimisation problem in power system and mostly unit commitment problem. International Journal of Ambient Energy 42:14, pages 1676-1698.
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Yabo Luo, Yuling Pan, Cunrong Li & Hongtao Tang. (2020) A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem. International Journal of Computer Integrated Manufacturing 33:10-11, pages 962-981.
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Articles from other publishers (1)

Pakayse Koken, Venkatesh Arasanipalai Raghavan & Sang Won Yoon. (2018) A genetic algorithm based heuristic for dynamic lot sizing problem with returns and hybrid products. Computers & Industrial Engineering 119, pages 453-464.
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