Assembly Sequence Planning Based on Max-Min Ant Colony System

Jia Peng Yu; Cheng En Wang

doi:10.4028/www.scientific.net/AMM.284-287.2220

Paper Titles

Achieving Passive Integral Control Using Feedback and Output Redefinition
p.2199

Adaptive Single-Neuron Proportional-Integral-Derivative Controller Based on Memristor
p.2205

Advanced Mode Control Strategies for Inverter Based Distributed Generators in Micro-Grids
p.2210

An Intelligent Garbage Can Decision-Making Model Evolution Algorithm on Optimal Design of Fuzzy Controller of Intelligent Lighting Systems
p.2215

Assembly Sequence Planning Based on Max-Min Ant Colony System
p.2220

Delayed State Feedback Control for Singular Plants with Device Delay
p.2228

Design and Experiment of Iterative Learning Controller Based on Particle Swarm Optimization Approach with New Bounded Constraints Technique
p.2233

Extension of Elementary Siphons in a Class of Generalized Petri Nets
p.2238

Fuzzy Simplex-Type Sliding-Mode Control
p.2244

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 284-287Assembly Sequence Planning Based on Max-Min Ant...

Assembly Sequence Planning Based on Max-Min Ant Colony System

Abstract:

An assembly sequence planning (ASP) method that combined the advantages of ant colony system (ACS) and Max-Min ant system (MMAS) is proposed. To identify the best sequence easily, five optimization criterions are automatically quantified, including reorientation, parallelism, continuity, stability and auxiliary stroke, and then integrated into the multi-objective heuristic and fitness functions of ant colony optimization (ACO). To improve the search capability for the global-best sequence, several measures are presented from aspects of determining number of ant, max-min pheromone limits, performance appraisal for initial components allocation and the group method for same components. The ASP algorithm based on Max-Min ant colony system (MMACS) is proposed. An assembly planning system AutoAssem is developed based on Siemens NX platform, and the actual effectiveness of each optimization measure is testified through case study of a valve.

You might also be interested in these eBooks

Innovation for Applied Science and Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 284-287)

Pages:

2220-2227

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.284-287.2220

Citation:

Cite this paper

Online since:

January 2013

Authors:

Jia Peng Yu, Cheng En Wang

Keywords:

Ant Colony Optimization Algorithm (ACOA), Assembly Sequence Planning, Max-Min Ant System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] B. Lazzerini and F. Marcelloni: Artif. Intell. Eng. Vol. 14 (2000), p.319.

Google Scholar

[2] J. M. Milner, S. C. Graves, and D. E. Whitney, in: Proc IEEE Int Conf Rob Autom, San Diego, USA (1994), p. (2058).

Google Scholar

[3] Y. J. Tseng, F. Y. Yu and F. Y. Huang: Int J Adv Manuf Technol Vol. 57 (2011), p.1183.

Google Scholar

[4] M. Dorigo and L. M. Gambardella: IEEE Trans Evol Comput Vol. 1 (1997), p.53.

Google Scholar

[5] F. Failli and D. Dini: Proceedings of the 2nd CIRP Intelligent Computation in Manufacturing Engineering, (2000), p.227.

Google Scholar

[6] J. F. Wang, J. H. Liu and Y. F. Zhong: Int J Adv Manuf Technol Vol. 25 (2005), p.1137.

Google Scholar

[7] H. Wang, D. Xiang and G. H. Duan, in: IMACS Multiconference Comput. Eng. Syst. Appl., CESA, Beijing, China(2006), p.1161.

Google Scholar

[8] X. H. Liu, G. L. Peng and X. M. Liu: Int J Adv Manuf Technol, (2011), in press.

Google Scholar

[9] H. B. Shan, S. X. Li and J. Huang, in: Proc IEEE Int Conf Mechatronics Autom, Harbin, China (2007), p.867.

Google Scholar

[10] S. Sharma, B. B. Biswal and P. Dash, in: IEEE International Conference on Automation Science and Engineering, Arlington, USA (2008), 894.

Google Scholar

[11] C. Lu, H. Z. Huang and J. Y. H. Fuh: J. Eng. Manuf. Vol. 222 (2008), p.1465.

Google Scholar

[12] B. Shuang, J. P. Chen and Z. B. Li: Int J Adv Manuf Technol Vol. 38 (2008), p.1227.

Google Scholar

[13] J. P. Yu, C. Wang and H. Yu: Applied Mechanics and Materials Vol. 16-19 (2009), p.130.

Google Scholar

[14] T. Stutzle and H. H. Hoos: Future Generation Computer Systems Vol. 16 (2000), p.889.

Google Scholar

[15] C. Wang, H. Yu and J. P. Yu: Comput. Integr. Manuf. Syst. (China) Vol. 17 (2011), p.952.

Google Scholar

[16] J. P. Yu, C. Wang and W. L. Zhang: Journal of Mechanical Engineering Vol. 46 (2010), p.149.

Google Scholar