Optimal tolerance allocation using a multiobjective particle swarm optimizer

International Journal of Advanced Manufacturing Technology

Volumn 44, Issue 7-8, 2009, Pages 710-724

  Forouraghi, Babak ^a  

^a SAINT JOSEPH S UNIVERSITY   (United States)

Author keywords

Concurrent engineering; Multiobjective optimization; Particle swarm optimization; Sensitivity analysis; Tolerance allocation

Indexed keywords

COMPONENT TOLERANCES; DESIGN PARAMETERS; ENGINEERING DESIGN PROBLEMS; MANUFACTURING COST; MECHANICAL ASSEMBLY; MULTI OBJECTIVE; MULTI-OBJECTIVE FORMULATION; NONLINEAR SENSITIVITY ANALYSIS; NUMERICAL EXPERIMENTS; OPTIMAL DESIGN; OPTIMAL TOLERANCE ALLOCATION; OPTIMIZATION TASK; PARTICLE SWARM OPTIMIZERS; PRODUCT PERFORMANCE; ROOT-SUM-SQUARE; TOLERANCE ALLOCATION; TOLERANCE SYNTHESIS;

ALGORITHMS; CONCURRENT ENGINEERING; FITS AND TOLERANCES; PARTICLE SWARM OPTIMIZATION (PSO); SENSITIVITY ANALYSIS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 69749117110     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-008-1892-8     Document Type: Article

References (27)

1. Chase KW (1999) Minimum-cost tolerance allocation. ADCATS Report No. 99-5. Department of Mechanical Engineering, Brigham Young University, Provo
2. Creveling CM (1997) Tolerance design, a handbook for developing optimal specifications. Wesley, Massachusetts
3. Altarazi S (2005) Operational tolerance allocation and machine assignment under process capability and product value constraints, Ph.D. Thesis, Wichita State University
4. Coello Coello C, Lamont GB, Van Veldhuizen DA (2007) Evolutionary algorithms for solving multi-objective problems, 2nd edn. Springer, New York
5. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester
6. Knowles J, Corne D, Deb K (eds) (2008) Multiobjective problem solving from nature: from concepts to applications. Springer, New York
7. D Salazar CM Rocoo 2007 Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): a reliability application Reliab Eng Syst Saf 92 697 706 doi:10.1016/j.ress.2006.03.003 (Pubitemid 46138079)
8. T Ray W Smith 2006 A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design Eng Optim 38 997 1011 doi:10.1080/03052150600882538 (Pubitemid 44627569)
9. Engelbrecht AP (2005) Fundamentals of computational swarm intelligence. Wiley, Chichester
10. Clerc M (2006) Particle swarm optimization. ISTE, California
11. M Reyes-Sierra C Coello 2006 A survey of the state-of-the-art multi-objective particle swarm optimizers Int J Comput Intell Res 2 287 308
12. Ochlak E, Forouraghi B (2006) A particle swarm algorithm for multiobjective design optimization. Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 06) 765-772
13. SL Ho S Yang G Ni EW Lo HC Wong 2005 A particle swarm optimization-based method for multiobjective design optimizations IEEE Trans Magn 41 1756 1759 doi:10.1109/TMAG.2005.846033 (Pubitemid 40963578)
14. D Liu K Tan C Goh W Ho 2007 A multiobjective memetic algorithm based on particle swarm optimization IEEE Trans Syst Man Cybern B Cybern 37 585 605
15. T Ray KM Liew 2002 A swarm metaphor for multiobjective design optimization Eng Optim 34 141 153 doi:10.1080/03052150210915 (Pubitemid 35263146)
16. MJ Reddy DN Kumar 2007 An efficient multi-objective optimization based on swarm intelligence for engineering design Eng Optim 39 49 68 doi:10.1080/03052150600930493 (Pubitemid 44956295)
17. M Shim M Suh 2002 Pareto-based continuous evolutionary algorithms for multiobjective optimization Eng Comput 19 22 48 doi:10.1108/02644400210413649 (Pubitemid 34554349)
18. A Saltelli S Tarantola K Chan 1999 A quantitative, model independent method for global sensitivity analysis of model output Technometrics 41 39 56 doi:10.2307/1270993
19. G Prabhaharan P Asokan S Rajendran 2005 Sensitivity-based conceptual design and tolerance allocation using the continuous ants colony algorithm (CACO) Int J Adv Manuf Technol 25 516 526 doi:10.1007/s00170-003-1846-0 (Pubitemid 40833863)
20. Jin Y (2002) Effectiveness of weighted aggregation of objectives for evolutionary multiobjective optimization: methods, analysis and applications. Technical Report. Honda R&D Europe (D) GmbH, Germany
21. CX Feng A Kusiak 1997 Robust tolerance design with the integer programming approach J Manuf Sci Eng 119 603 610 doi:10.1115/1.2831193
22. G Steiner D Watzenig 2003 Particle swarm optimization for worst case tolerance design IEEE International Conference on Industrial Technology (ICIT '03) 1 78 82
23. AN Haq K Sivakumar R Saravanan K Karthikeyan 2006 Particle swarm optimization (PSO) algorithm for optimal machining allocation of clutch assembly Int J Adv Manuf Technol 27 865 869 doi:10.1007/s00170-004-2274-5 (Pubitemid 43182317)
24. Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. KanGAL Report 200001, Indian Institute of Technology, Kanpur, India
25. X Li 2004 Better spread and convergence: particle swarm multiobjective optimization using the maximum fitness function Lect Notes Comput Sci 3102 117 128
26. Raquel CR, Naval PC (2005) An effective use of crowding distance in multiobjective particle swarm optimization. Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO '05) 257-264
27. S He E Prempain QH Wu 2004 An improved particle swarm optimizer for mechanical design optimization problems Eng Optim 36 585 605 doi:10.1080/03052150410001704854