274
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Evolutionary multi-objective concurrent maximisation of process tolerances

, &
Pages 3172-3191 | Received 12 Feb 2010, Accepted 13 Dec 2010, Published online: 26 Jul 2011

References

  • Coello Coello, CA, Lamont, GB, and Van Veldhuizen, DA, 2007. Evolutionary algorithms for solving multi-objective problems. New York: Springer; 2007.
  • Deb, K, 2001. Multi-objective optimization using evolutionary algorithms. Chichester, UK: Wiley; 2001.
  • Deb, K, et al., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation 6 (2) (2002), pp. 182–197.
  • Forouraghi, B, 2009. Optimal tolerance allocation using a multiobjective particle swarm optimizer, International Journal of Advanced Manufacturing Technology 44 (7–8) (2009), pp. 710–724.
  • González, I, and Sánchez, I, 2009. Statistical tolerance synthesis with correlated variables, Mechanism and Machine Theory 44 (6) (2009), pp. 1097–1107.
  • Haq, AN, et al., 2005. Tolerance design optimization of machine elements using genetic algorithm, International Journal of Advanced Manufacturing Technology 25 (3–4) (2005), pp. 385–391.
  • Huang, MF, and Zhong, YR, 2007. Optimized sequential design of two-dimensional tolerances, International Journal of Advanced Manufacturing Technology 33 (5–6) (2007), pp. 579–593.
  • Huang, M, and Zhong, Y, 2008. Dimensional and geometrical tolerance balancing in concurrent design, International Journal of Advanced Manufacturing Technology 35 (7–8) (2008), pp. 723–735.
  • Huang, YM, and Shiau, C-S, 2006. Optimal tolerance allocation for a sliding vane compressor, Journal of Mechanical Design 128 (1) (2006), pp. 98–107.
  • Krishna, G, and Rao, KM, 2006. Simultaneous optimal selection of design and manufacturing tolerances with different stack-up conditions using scatter search, International Journal of Advanced Manufacturing Technology 30 (3–4) (2006), pp. 328–333.
  • Knowles, J, Corne, D, and Deb, K, 2008. Multiobjective problem solving from nature: from concepts to applications. NewYork: Springer; 2008.
  • Muthu, P, Dhanalakshmi, V, and Sankaranarayanasamy, K, 2009. Optimal tolerance design of assembly for minimum quality loss and manufacturing cost using metaheuristic algorithms, International Journal of Advanced Manufacturing Technology 44 (11–12) (2009), pp. 1154–1164.
  • Prabhaharan, G, et al., 2004. Genetic algorithm-based optimal tolerance allocation using least-cost model, International Journal of Advanced Manufacturing Technology 24 (9–10) (2004), pp. 647–660.
  • Prabhaharan, G, Asokan, P, and Rajendran, S, 2005. Sensitivity-based conceptual design and tolerance allocation using the continuous ants colony algorithm (CACO), International Journal of Advanced Manufacturing Technology 25 (5–6) (2005), pp. 516–526.
  • Price, K, and Storn, R, 1997. Differential evolution – a simple evolution strategy for fast optimization, Dr. Dobb's Journal 22 (4) (1997), pp. 18–24.
  • Salazar, D, and Rocoo, CM, 2007. Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): a reliability application, Reliability Engineering System Safety 92 (6) (2007), pp. 697–706.
  • Singh, PK, Jain, SC, and Jain, PK, 2003a. Tolerance allocation with alternative manufacturing processes – suitability of genetic algorithm, International Journal of Simulation Model 2 (1–2) (2003a), pp. 22–34.
  • Singh, PK, Jain, PK, and Jain, SC, 2003b. Simultaneous optimal selection of design and manufacturing tolerances with different stack-up conditions using genetic algorithms, International Journal of Production Research 41 (11) (2003b), pp. 2411–2429.
  • Singh, PK, Jain, SC, and Jain, PK, 2004. A GA based solution to optimum tolerance synthesis of mechanical assemblies with alternate manufacturing processes: focus on complex tolerancing problems, International Journal of Production Research 42 (24) (2004), pp. 5185–5215.
  • Singh, PK, Jain, SC, and Jain, PK, 2005a. Advanced optimal tolerance design of mechanical assemblies considering interrelated dimension chains and process precision limits, Computers in Industry 56 (2) (2005a), pp. 179–194.
  • Singh, PK, Jain, SC, and Jain, PK, 2005b. Comparative study of genetic algorithm and simulated annealing for optimal tolerance design formulated with discrete and continuous variables, Proceedings of the Institution of Mechanical Engineers. Part B. Journal of Engineering Manufacture 219 (10) (2005b), pp. 735–59.
  • Singh, PK, Jain, PK, and Jain, SC, 2008. Optimal tolerance design of mechanical assemblies for economical manufacturing in the presence of alternative machines – a genetic algorithm-based hybrid methodology, Proceedings of the Institution of Mechanical Engineers. Part B. Journal of Engineering Manufacture 222 (5) (2008), pp. 591–604.
  • Sivakumar, M, Kannan, SM, and Jayabalan, V, 2009. A new algorithm for optimum tolerance allocation of complex assemblies with alternative processes selection, International Journal of Advanced Manufacturing Technology 40 (7–8) (2009), pp. 819–836.
  • Sivakumar, M, and Stalin, B, 2009. Optimum tolerance synthesis for complex assembly with alternative process selection using Lagrange multiplier method, International Journal of Advanced Manufacturing Technology 44 (3–4) (2009), pp. 405–411.
  • Tan, KC, Lee, TH, and Khor, EF, 2002. Evolutionary algorithms for multi-objective optimization: performance assessments and computations, Artificial Intelligence Review 17 (4) (2002), pp. 253–290.
  • Wu, F, et al., 2009. Improved algorithm for tolerance allocation based on Monte Carlo simulation and discrete optimization, Computers and Industrial Engineering 56 (4) (2009), pp. 1402–1413.
  • Ye, B, and Salustri, FA, 2003. Simultaneous tolerance synthesis for manufacturing and quality, Research Engineering Design 14 (2) (2003), pp. 98–106.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.