Real-world simulation-based manufacturing optimization using Cuckoo Search

Proceedings - Winter Simulation Conference

Volumn , Issue , 2012, Pages

  Syberfeldt, Anna ^a   Lidberg, Simon ^b  

^a UNIVERSITY OF SKÖVDE   (Sweden)

^b VOLVO CAR CORPORATION   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS OPTIMIZATION PROBLEMS; CUCKOO SEARCH ALGORITHMS; CUCKOO SEARCHES; DECISION VARIABLES; ENGINE MANUFACTURING; META HEURISTIC ALGORITHM; MULTIPLE OBJECTIVES; NSGA-II; OPTIMIZATION PROBLEMS; PARETO-OPTIMALITY; PROBLEM DOMAIN; REAL-WORLD; SIMULATION-BASED OPTIMIZATIONS;

BENCHMARKING; LEARNING ALGORITHMS;

OPTIMIZATION;

EID: 84874678316     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2012.6465158     Document Type: Conference Paper

References (21)

1. April, J., M. Better, F. Glover, and J. Kelly. 2004. "New advances for marrying simulation and optimization." In Proceedings of the 2004 Winter Simulation Conference, Washington, DC, 80-86. (Pubitemid 40575483)
2. Boesel, J., R. Bowden, F. Glover, J. Kelly, and E. Westwig. 2001 "Future of simulation optimization." In Proceedings of the 2001 Winter Simulation Conference, Arlington, VA, 1466-1470.
3. Bäck, T., D. Fogel, and Z. Michalewicz. 1997. Handbook of Evolutionary Computation, Oxford University Press.
4. Coello Coello, C.A., G.B. Lamon, and D.A. Van Veldhuizen. 2007. Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edition, Springer Science Business Media LLC.
5. Dawkins, R. 1989. The Selfish Gene, 30th edition, New York: Oxford University Press Inc.
6. Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2000. "A fast and elitist multi-objective genetic algorithm NSGA-II." KanGAL Report 2000001, Indian Institute of Technology Kanpur, India.
7. Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II." IEEE Transactions on Evolutionary Computation VI(2): 182-197. (Pubitemid 34555372)
8. Deb, K. (2004) Multi-Objective Optimization using Evolutionary Algorithms, second edn, JohnWiley & Sons Ltd.
9. Dhivya, M., M. Sundarambal, L. N. Anand. 2011. "Energy Efficient Computation of Data Fusion in Wireless Sensor Networks Using Cuckoo Based Particle Approach (CBPA).". International Journal of Communications, Network and System Sciences 4(4): 249-255.
10. Gosavi, A. Simulation-based optimization: parametric optimization techniques and reinforcement learning. Boston, Mass., Kluwer Academic, 2003.
11. Gutowski, M. 2001. "Lévy flights as an underlying mechanism for global optimization algorithms." Optimization, 8.
12. Jin, Y. and J. Branke. 2005. "Evolutionary optimization in uncertain environments - a survey," IEEE Transactions on Evolutionary Computation 9(3): 303-317. (Pubitemid 40871134)
13. Laguna, M. and R. Marti. 2003. Optimization Software Class Libraries. Kluwer Academic Publishers, Boston.
14. Leccardi, M. 2005 "Comparison of Three Algorithms for Lèvy Noise Generation." In Proceedings of Fifth EUROMECH Nonlinear Dynamics Conference, Mini Symposium on Fractional Derivatives and Their Applications.
15. Mantegna, R.N. 1994. "Fast, accurate algorithm for numerical simulation of Levy stable stochastic processes." Physical Review E 49:4677-4683.
16. Tein L. H. and R. Ramli. "Recent advancements of nurse scheduling models and a potential path." In Proceedings of 6th IMT-GT Conference on Mathematics, Statistics and its Applications, 395-409.
17. Viswanathan, G.M., S.V. Buldyrev, S. Havlin, M.G.E. da Luz, E.P. Raposo, and H. Eugene Stanley. 1999. "Optimizing the success of random searches." Letters to Nature 401:911-914.
18. Yang, X.-S. and S. Deb. 2009. "Cuckoo Search via Levy Flights." In Proceedings of World Congress on Nature & Biologically Inspired Computing, India, 210-214.
19. Yang, X.-S. 2010. Nature-Inspired Metaheuristic Algorithms, 2nd edition, Cambridge: Leniver Press.
20. Yang, X.-S. and S. Deb 2010. "Engineering Optimisation by Cuckoo Search." In International Journal of Mathematical Modelling and Numerical Optimisation 1(4):330-343.
21. Zitzler, E., K. Deb, and L. Thiele. 2000. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation 8(2):173-195.