How does the good old Genetic Algorithm fare at real world optimization?

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 1049-1056

  Saha, Amit ^a   Ray, Tapabrata ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIO-INSPIRED ALGORITHMS; GA OPERATORS; OPTIMIZATION PROBLEMS; REAL-CODED; REAL-WORLD OPTIMIZATION; USER-DEFINED PARAMETERS;

MATHEMATICAL OPERATORS; OPTIMIZATION;

GENETIC ALGORITHMS;

EID: 80052015040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949733     Document Type: Conference Paper

References (11)

1. S. Das and PN. Suganthan. Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems. Technical Report, December, 2010
2. D. H. Wolpert and W. G. Macready. No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(1):67-82, 1997. (Pubitemid 127771019)
3. M. Streeter Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold. In GECC0 2003, LNCS 2724, 1418-1430, Springer, 2003.
4. Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer, 1996.
5. F. Herrera, M. Lozano, and J. Verdegay. Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review, 12(4):265-319, 1998. (Pubitemid 128514089)
6. D. Goldberg. Genetic Algorithms in Search and Optimization. Addisonwesley, 1989.
7. K. Deb. Multi-objective optimization using Evolutionary Algorithms. Wiley, 2001.
8. KA. De Jong Evolutionary Computation: A Unified Approach. MIT Press, 2006.
9. N. Padhye, P. Bhardawaj and K. Deb Improving Differential Evolution by Altering Steps in EC. In SEAL 2010, LNCS 6457, Kanpur, 146-155, Springer, 2010.
10. S. Das and PN. Suganthan Differential Evolution: A Survey of the Stateof-the-art. IEEE Transactions on Evolutionary Computation, 1-28, IEEE Press, 2010
11. A. Saha, R. Datta and K. Deb Hybrid gradient projection based Genetic Algorithms for constrained optimization. Proceedings of the IEEE Congress on Evolutionary Computation, 1-8, CEC 2010, Barcelona, Spain.