Credit Assignment in Adaptive Evolutionary Algorithms

[1] Barbosa, H. J. C. and e Sá, A. M. On Adaptive Operator

Probabilities in Real Coded Genetic Algorithms, In

Workshop on Advances and Trends in Artificial Intelligence

for Problem Solving (SCCC '00), (Santiago, Chile,

November 2000).

[2] Davis, L. Handbook of Genetic Algorithms, van Nostrand

Reinhold, New York, 1991.

[3] De Jong, K. An analysis of the behaviour of a class of

genetic adaptive systems. Ph. D Thesis, University of

Michigan, Ann Arbor, Michigan, 1975.

[4] Herrera, F. and Lozano, M. Tackling real-coded genetic

algorithms: Operators and tools for the behavioural analysis,

Artificial Intelligence Review 12, 4, (1998), 265-319.

[5] Herrera, F., Lozano, M., and Sánchez, A. M. 2005. Hybrid

crossover operators for real-coded genetic algorithms: an

experimental study. Soft Comput. 9, 4 (Apr. 2005), 280-298.

[6] Janka, E. Vergleich stochastischer Verfahren zur globalen

Optimierung, Diploma Thesis, University of Vienna, Vienna,

Austria, 1999.

[7] Julstrom, B. A. Adaptive operator probabilities in a genetic

algorithm that applies three operators. In Proceedings of the

1997 ACM Symposium on Applied Computing (SAC '97)

(San Jose, California, United States). ACM Press, New

York, NY, 233-238, 1997.

[8] Muhlenbein, H., Schomisch, M. and Born, J. The parallel

genetic algorithm as function optimizer. In Proc. of 4th

International Conference of Genetic Algorithms, 271-278,

1991.

[9] Pham, Q.T. Dynamic Optimization of Chemical Engineering

Processes by an Evolutionary Method. Comp. Chem. Eng.,

22 (1998), 1089-1097.

[10] Pham, Q. T. Competitive evolution: a natural approach to

operator selection. In: Progress in Evolutionary

Computation, Lecture Notes in Artificial Intelligence,

(Evolutionary Computation Workshop) (Armidale, Australia,

November 21-22, 1994). Springer-Verlag, Heidelberg, 1995,

49-60.

[11] Storn, R. and Price, K. Differential Evolution - A Simple and

Efficient Adaptive Scheme for Global Optimization over

Continuous Spaces. Technical Report TR-95-012,

International Computer Science Institute, Berkeley, CA,

1995.

[12] Whitacre, J., Pham, Q.T., Sarker, R. Use of Statistical

Outlier Detection Method in Adaptive Evolutionary

Algorithms. In Proceedings of the 2006 Conference on

Genetic and Evolutionary Computation (GECCO '05)

(Seattle, USA, July 8-12, 2006). ACM Press, New York, NY,

2006.