Dynamic control of adaptive parameters in evolutionary programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1585, Issue , 1999, Pages 42-49

  Liang, Ko Hsin ^a   Yao, Xin ^a   Newton, Charles ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMIZATION; SEALS;

ADAPTIVE PARAMETERS; DYNAMIC CONTROLS; EVOLUTIONARY PROCESS; LOWER BOUNDS; NUMERICAL OPTIMIZATIONS; STEP SIZE; STEP-SIZE CONTROLS;

COMPUTER PROGRAMMING;

EID: 84956864979     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48873-1_7     Document Type: Conference Paper

References (14)

1. D.B. Fogel. A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems. Simulation,64(6):397-404, 1995.
2. D.B. Fogel. Applying evolutionary programming to selected control problems. Computers & Mathematics with Applications, 27(11):89-104, 1994.
3. X. Yao and Y Liu. Fast evolutionary programming. In L.J. Fogel, P.J. Angeline, and T. Bäck, editors, Evolutionary Programming V: Proc. of the Fifth Annual Conference on Evolutionary Programming, pages 451-460, Cambridge, MA,1996. MIT Press.
4. K.-H. Liang, X. Yao, C. Newton, and D. Hoffman.Solving cutting stock problems by evolutionary programming. In V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben, editors, Evolutionary Programming VII: Proc. of the Seventh Annual Conference on Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, pages 755-764, New York, 1998. Springer.
5. T. Bäck and H.-P. Schwefel. An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1(1):1-23, 1993.
6. T. Bäck. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University, New York, 1996.
7. P.J. Angeline. Adaptive and self-adaptive evolutionary computation. In Y. Palaniswami, R. Attikiouzel, R. Marks, D. Fogel, and T. Fukuda, editors, Computation Intelligence: A Dymanic System Perspective, pages 152-163, Piscataway, NJ, 1995.IEEE Press.
8. K.-H. Liang, X. Yao, Y. Liu, C. Newton, and D. Hoffman. An experimental inves­tigation of self-adaptation in evolutionary programming. In V.W. Porto, N. Sara- vanan, D. Waagen, and A.E. Eiben, editors,Evolutionary Programming VII: Proc. of the Seventh Annual Conference on Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, pages 291-300, New York, 1998. Springer.
9. H.-P. Schwefel. Evolution and Optimum Seeking. Wiley, New York, 1995.
10. D.B. Fogel, L.J. Fogel, and J.W. Atmar. Meta-evolutionary programming. In R.R. Chen, editor, Proc. of the 25th Asilomar Conference on Signals, Systems and Computers, pages 540-545, San Jose, CA,1991. Maple Press.
11. H.-G. Beyer. Toward a theory of evolution strategies: Self-adaptation. Evolutionary Computation, 3(3):311-348, 1995.
12. H.J. Larson. Introduction to Probability Theory and statistical Inference. Wiley, New York, third edition, 1982.
13. W. Feller. An Introduction to Probability Theory and Its Applications, volume 1. Wiley, New York, third edition, 1968.
14. X. Yao, G. Lin, and Y Liu. An analysis of evolutionary algorithms based on neighbourhood and step sizes. In P.J. Angeline, R.G. Reynolds, J.R. McDonnell, and R Eberhart, editors, Evolutionary Programming VI: Proc. of the Sixth Annual Conference on Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, pages 297-307, New York, 1997. Springer.