A new discrete double-population firefly algorithm for assembly sequence planning

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 230, Issue 12, 2016, Pages 2229-2238

  Zhang, Zaifang ^a   Yuan, Baoxun ^b   Zhang, Zhinan ^c  

^a SHANGHAI UNIVERSITY   (China)

^b Honeywell (China) Co Ltd   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

assembly direction; Assembly sequence planning; assembly stability; double population search; firefly algorithm

Indexed keywords

BIOLUMINESCENCE; MANUFACTURE; OPTIMIZATION;

ASSEMBLY SEQUENCE PLANNING; ASSEMBLY SEQUENCE PLANNING PROBLEM; COMBINATIONAL OPTIMIZATION; DIGITAL MANUFACTURING; DOUBLE POPULATIONS; FIREFLY ALGORITHMS; GLOBAL SEARCH CAPABILITY; INTELLIGENT ALGORITHMS;

ASSEMBLY;

EID: 85006421210     PISSN: 09544054     EISSN: 20412975     Source Type: Journal    
DOI: 10.1177/0954405416629099     Document Type: Article

References (26)

1. Wu DZ, Rosen DW, Wang LH, et al. Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation. Comput Aided Design 2014; 59: 1-14.
2. Rashid MFF, Hutabarat W, Tiwari A., A review on assembly sequence planning and assembly line balancing optimization using soft computing approaches. Int J Adv Manuf Tech 2012; 59: 335-349.
3. Wu MP, Zhao Y, Wang CX., Knowledge-based approach to assembly sequence planning for wind-driven generator. Math Probl Eng 2013; 2013: 908316 (7 pp.).
4. Somayé G, Ellips M., Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput Aided Design 2015; 67-68: 58-86.
5. Zhao S, Hong J, Zhao H, et al. Research on assembly sequence planning method for large-scale assembly based on an integrated assembly model. Proc IMechE, Part B: J Engineering Manufacture 2012; 226: 733-744.
6. Moultrie J, Maier AM., A simplified approach to design for assembly. J Eng Design 2014; 25 (1-3): 44-63.
7. Lu HJ, Zhen HQ, Huang YF, et al. Assembly sequence planning of quayside container crane based on improved immune algorithm. J Appl Sci 2013; 13 (22): 4922-4928.
8. Cem S., Design of an artificial neural network for assembly sequence planning system. Int J Ind Eng: Theory 2008; 15 (1): 92-103.
9. Chen W, Tai P, Deng W, et al. A three-stage integrated approach for assembly sequence planning using neural networks. Expert Syst Appl 2008; 34 (3): 1777-1786.
10. Ong SK, Ding J, Nee AYC,. Hybrid GA and SA dynamic set-up planning optimization. Int J Prod Res 2002; 40 (18): 4697-4719.
11. Lazzerini B, Marcelloni F., A genetic algorithm for generating optimal assembly plans. Artif Intell Eng 2002; 14: 319-329.
12. Guan Q, Liu JH, Zhong YF., A concurrent hierarchical evolution approach to assembly process planning. Int J Prod Res 2002; 40 (14): 3357-3374.
13. Lu C, Wong YS, Fuh JYH,. An enhanced assembly planning approach using a multi-objective genetic algorithm. Proc IMechE, Part B: J Engineering Manufacture 2006; 220 (2): 255-272.
14. Zhou W, Zheng JR, Yan JJ, et al. A novel hybrid algorithm for assembly sequence planning combining bacterial chemotaxis with genetic algorithm. Int J Adv Manuf Tech 2011; 52: 715-724.
15. Xing YF, Wang YS., Assembly operation optimization based on social radiation algorithm for autobody. Adv Mech Eng 2014; 2014: 854637 (7 pp.).
16. Wang JF, Liu JH, Zhong YF., A novel ant colony algorithm for assembly sequence planning. Int J Adv Manuf Tech 2005; 25: 1137-1143.
17. Wang FC, Sun YC, Li N., Multi station assembly sequence planning based on particle swarm optimization algorithm. J Mech Eng 2012; 48 (9): 155-162.
18. Lv HG, Lu C., An assembly sequence planning approach with a discrete particle swarm optimization algorithm. Int J Adv Manuf Tech 2010; 50 (5-8): 761-770.
19. Zhang HY, Liu HJ, Li LY., Research on a kind of assembly sequence planning based on immune algorithm and particle swarm optimization algorithm. Int J Adv Manuf Tech 2014; 71: 795-808.
20. Tseng YJ, Chen JY, Huang FY., A particle swarm optimization algorithm for multi-plant assembly sequence planning with integrated assembly sequence planning and plant assignment. Int J Prod Res 2010; 48 (10): 2765-2791.
21. Yang XS., Firefly algorithms for multimodal optimization. In: Watanabe O, Zeugmann T, (eds) Stochastic algorithms: foundations and applications. Berlin; Heidelberg: Springer, 2009, pp. 169-178.
22. Yuan JJ., Optimal design for scale-based product family based on multi-objective firefly algorithm. Comput Integr Manuf 2012; 18 (8): 1801-1809.
23. Zeng B, Li MF, Zhang Y, et al. Research on assembly sequence planning based on firefly algorithm. J Mech Eng 2013; 49 (11): 177-184.
24. Gao L, Zhang CJ, Li XY, et al. Discrete electromagnetism-like mechanism algorithm for assembly sequences planning. Int J Prod Res 2014; 52 (12): 3485-3503.
25. Yang XS., Nature-inspired metaheuristic algorithms. Frome: Luniver Press, 2011.
26. Li MY, Wu B, Hu YM, et al. A hybrid assembly sequence planning approach based on discrete particle swarm optimization and evolutionary direction operation. Int J Adv Manuf Tech 2013; 68: 617-630.