A Differential Evolution Based Optimization Algorithm for Production Planning Model in Defense Industry

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Abstract:

The production planning problem in defense industry has the non-regular nonlinearity of the objective function and the NP-hard nature of the solution space. A nonlinear integer programming model was proposed for this problem. A differential evolution based optimization algorithm was developed to solve the proposed model. A case study validated the effectiveness of the developed algorithm, and proved that it is superior to the standard genetic algorithm on the global searching capability. The algorithm can support the weapons production planning, and also can be applied to other industries.

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249-252

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] XinGuang Liu. National system analysis on weapon and armament development. National Defense Industry Press, Beijing, China, 2007. (in Chinese)

Google Scholar

[2] MORS Workshop. Capabilities based planning: the road ahead. Institute for Defense Analysis Arlington, Virginia, USA, 2004.

Google Scholar

[3] Masoumeh Kazemi Zanjani, Mustapha Nourelfath and Daoud Ait-Kadi. International Journal of Production Research, 2010, 48(16): 4701-4723.

DOI: 10.1080/00207540903055727

Google Scholar

[4] Feng Pan, Rakesh Nagi. Computers & Operations Research, 2010, 37: 668-683.

Google Scholar

[5] Jianxin Jiao,Yiyang Zhang and Yi Wang. Computers & Operations Research, 2007, 34: 1777-1799.

Google Scholar

[6] K. J. Wang, S. M. Wang and J. C. Chen. European Journal of Operational Research, 2008, 184: 327-340.

Google Scholar

[7] Godfrey O, Donald D. European Journal of Operational Research, 2006 (171): 674–692.

Google Scholar

[8] Ponsich A, Coello C. Applied Soft Computing, 2011 (11): 399–409.

Google Scholar