Simulated manufacturing process improvement via particle swarm optimisation and firefly algorithms

IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011

Volumn 2, Issue , 2011, Pages 1123-1128

  Aungkulanon, P ^a   Chai ead, P ^a   Luangpaiboon, P ^a  

^a THAMMASAT UNIVERSITY   (Thailand)

Author keywords

Firefly algorithm; Meta heuristic; Particle swarm optimisation; Turning machining and spring force problems

Indexed keywords

BENCHMARK COMPARISON; CONVERGENCE SPEED; DATA SETS; DESIGN POINTS; FIREFLY ALGORITHM; MACHINING MODELS; MANUFACTURING PROCESS IMPROVEMENT; META HEURISTIC ALGORITHM; METAHEURISTIC; NUMERICAL PROCESS; OPTIMAL CUTTING PARAMETERS; OPTIMAL OPERATING CONDITIONS; PARAMETER-TUNING; PARTICLE SWARM OPTIMISATION; PERFORMANCE MEASURE; PROCESSING TIME; PSEUDO-CODE;

BENCHMARKING; BIOLUMINESCENCE; COMPUTER SCIENCE; CONVERGENCE OF NUMERICAL METHODS; ENGINEERS; HEURISTIC METHODS; MACHINING; PARTICLE SWARM OPTIMIZATION (PSO);

HEURISTIC ALGORITHMS;

EID: 79960583771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. F. Cus, J. Balic, "Optimisation of Cutting Process by GA Approach", Robotics and Computer Integrated Manufacturing, vol.19, 2003, pp. 113-121.
2. V.N. Hsu, M. Daskin, P.C. Jones and T.J. Lowe, "Tool Selection for Optimal Part Production: a Lagrangian Relaxation Approach", IIE Transaction, 1995, pp.417-26.
3. B. Hajek., "A Tutorial Survey of Theory and Applications of Simulated Annealing.", In Proceedings of the 24th IEEE Conference on Decision and Control, vol. 2 , 1985, pp. 755-760.
4. V. Granville, M. Krivanek and J. P. Rasson, "Simulated annealing: a Proof of Convergence", Pattern Analysis and Machine Intelligence, IEEE Transactions.vol. 16, Issue 6, 1994, pp. 652-656.
5. R.J. Linn, B. Yen and W. Zhang ,"Just-in-Time Scheduling with Machining Economics for Single-Machine Turning Process", Journal of Manufacturing Systems, vol. 19, No.4,2000.
6. Y.M. Cheng, L. Li and S.C. Chi , "Performance Studies on Six Heuristic Global Optimisation Methods in the Location of Critical Slip Surface Computers and Geotechnics", Computers and Geotechnics, vol. 34, 2007, pp.462-484.
7. B. Liu, L. Wang, Y.H. Jin, F. Tang and D.X. Huang "Improved Particle Swarm Optimisation Combined with Chaos", Soldons and Fractals, vol. 25, 2005, pp.1261-1271.
8. E. Emad, H. Tarek and G. Donald, "Comparison among Five Evolutionary-based Optimisation Algorithms," Advanced Engineering Informatics, vol 19, 2005, pp. 43-53.
9. X.S. Yang, "A Discrete Firefly Meta-heuristic with Local Search for Makespan Minimisation in permutation Flow Shop Scheduling Problems", International Journal of Industrial Engineering Computations, vol. 1, 2010, pp. 1-10.
10. D.T. Pham, A. Ghanbarzadeh, E. Koc, S. Otri, S. Rahim and M. Zaidi, "The Bees Algorithm. Technical Note". Manufacturing Engineering Centre, Cardiff University, UK, 2005
11. P. Muller and D.R. Insua, "Issues in Bayesian Analysis of Neural Network Models", Neural Computation, vol. 10, 1995, pp. 571-592.
12. K.S. Lee and Z.W. Geem, "A New Meta-heuristic Algorithm for Continues Engineering Optimisation: Harmony Search Theory and Practice," Comput: Meth. Appl. Mech. Eng., vol. 194, 2004, pp. 3902-3933.
13. M. Dorigo, V. Maniezzo and A. Colorni, "Ant System: Optimisation by a Colony of Cooperating Agents", IEEE Transactions on Systems, Man, and Cybernetics Part B, vol. 26, numéro 1,1996, pp. 29-41.
14. J.Y. Jeon, J.H. Kim, and K. Koh "Experimental Evolutionary Programming-based High-precision Control", IEEE Control Sys. Tech., vol. 17, 1997, pp. 66-74.
15. R. Stom, "System Design by Constraint Adaptation and Deferential Evolution", IEEE Trans. on Evolutionary Computation., vol. 3, no. 1, 1999, pp. 22-34.
16. A. Lokketangen, K. Jornsten and S. Storoy "Tabu Search within a Pivot and Complement Framework " , International Transactions in Operations Research, vol. 1, no. 3,1994, pp. 305-316.
17. S. Lukasik and S. Zak, "Firefly Algorithm for Continuous Constrained Optimisation Tasks", Systems Research Institute, Polish Academy of Sciences, 2010, pp. 1-10.
18. H. Zang, S. Zhang and K. Hapeshi, "A Review of Nature-Inspried Algorithms", Journal of Bionic Engineering", vol. 7, 2010, pp.232-237.
19. Z. Khan, L.B. Prasad and T. Singhl, "Machine Condition Optimisation by Genetic Algorithms and Simulated" ,Computers Ops Res. vol. 24, no. 7, 1997, pp. 647-657.