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Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm
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Journal of Software Engineering and Applications·Volume 02 (2009)·Pages 350–353·Published 28 December 2009·DOI10.4236/jsea.2009.25046
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Abstract
In view of incomplete probability information multi-objective question, it used probabilistic perturbation method and Edgeworth series technique to study reliability optimization design. The first four moments of basic random variables are known under condition. It used the Ant Colony Algorithm to design cutting head roadheader, the optimized result indicated that cutting head load fluctuation and compared energy consumption were reduced obviously at the same time. This result enhanced roadheader operational reliability and energy effectively.
KeywordsOptimization ReliabilityMulti-ObjectiveProbabilistic Perturbation MethodIncomplete Probability In-formation
- X. Zhang, J. W. Zhang and M. Yang, “Optimal design for pick arrangement parameters on cutting head of roadheader based on minimum load fluctuation [J],” Machine Design and Research, Vol. 21, No. 1, pp. 64–68, 2005.
- X. Zhang and Q. L. Zeng, “The study of multi-objective optimization design for cutting head of roadheader [J],” Coal Mine Machinery, Vol. 6, No. 1, pp. 1–3, 2005.
- X. H. Li, J. Tian and Y. Huang, “Kinematics simulation of a horizontal cutting head in cutting process [J],” Journal of Heilongjiang Institute of Science, Vol. 11, No. 1, pp. 17–20, 2001.
- X. H. Li, “Simulation study of random loads on a cutting head of roadhead [J],” Journal of China Coal Society, Vol. 25, No. 5, pp. 525–529, 2000.
- X. H. Li, “Design and research on cutting head of roadheader [M],” Chinese Overseas Chinese Publishing house, Beijing, 1997.
- H. W. Ma, “Significant effect of taper cutting head to tunnelling machine [J],” Coal Technology, Vol. 25, No. 5, pp. 9–11, 2006.
- W. Guo, F. L. Wang and C. C. Pei, “The improvement to design of S150 roadheader cutting [J],” Coal Mine Machinery, Vol. 27, No. 8, pp. 122–123, 2006.
- X. L. Li and Z. X. Han, “Fuzzy reliability optimal design of cylindrical spiral compression spring based on genetic algorithm [J],” Journal of Machine Design, Vol. 21, No. 1, pp. 34–35, 2004.
- H. Z. Huang, “The machine design fuzzy optimization principle and applies [M],” Beijing Scientific Publishing, 1997.
- X. J. Fu, “Spring fuzzy reliability optimization design [J],” Machine Design & Manufacture, Vol. 37, No. 1, pp. 4–6, 2000.
- X. D. He and Y. M. Zhang, B. C. Wen, “Reliability- robust design of compressive bar under incomplete probability information [J],” Journal of Aerospace Power, Vol. 22, No. 9, pp. 1532–1536, 2007.
- Y. M. Zhang, Q. L. Liu and B. C. Wen, “Reliability sensitivity design of vehicle familiar spring [J],” Engineering Science, Vol. 6, No. 1, pp. 74–78, 2004.
- Y. M. Zhang, X. D. He and Q. L. Liu, “Reliability-based robust design of coil tube-spring under incomplete probability information [J],” Structure & Environment Engineering, Vol. 31, No. 4, pp. 35–40, 2004.
- Y. M. Zhang, X. D. He, Q. L. Liu and B. C. Wen, “Reliability-based optimization of coil-tube springs based on incomplete probability information [J],” Journal of Applied Sciences, Vol. 22, No. 3, pp. 347–350, 2004.