References - Self-Adaptive Heuristics for Evolutionary Computation - page 151

54. Hansen, N., Ostermeier, A.: Completely derandomized self-adaptation in evolu-
tion strategies. Evolutionary Computation 9(2), 159-195 (2001)
55. Hildebrand, L.: Asymmetrische Evolutionsstrategien. PhD thesis, University of
Dortmund (2002)
56. Hinterding, R., Michalewicz, Z., Peachey, T.C.: Self-adaptive genetic algorithm
for numeric functions. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel,
H.-P. (eds.) PPSN 1996. LNCS, vol. 1141, pp. 420-429. Springer, Berlin (1996)
57. Hoffmeister, F., Sprave, J.: Problem-independent handling of constraints by use
of metric penalty functions. In: Fogel, L.J., Angeline, P.J., Back, T. (eds.) Pro-
ceedings of the 5th Conference on Evolutionary Programming - EP 1996, pp.
289-294. MIT Press, Cambridge (1996)
58. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michi-
gan Press, Ann Arbor (1975)
59. Holland, J.H.: Adaptation in natural and artificial systems, 1st edn., 1975. MIT
Press, Cambridge (1992)
60. Homaifar, A., Lai, S.H.Y., Qi, X.: Constrained Optimization via Genetic Algo-
rithms. Simulation 62(4), 242-254 (1994)
61. Igel, C., Toussaint, M.: Neutrality and self-adaptation. Natural Computing 2(2),
117-132 (2003)
62. Jansen, T., Wegener, I.: Real royal road functions - where crossover provably is es-
sential. In: Spector, L., Goodman, E.D., Wu, A., Langdon, W., Voigt, H.-M., Gen,
M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M.H., Burke, E. (eds.) Proceedings of
the 3rd conference on genetic and evolutionary computation - GECCO, pp. 375-
382. Morgan Kaufmann, San Francisco (2001)
63. Jagerskupper, J.: Rigorous runtime analysis of the (1+1) es: 1/5-rule and ellipsoidal
fitness landscapes. In: Wright, A.H., Vose, M.D., De Jong, K.A., Schmitt, L.M.
(eds.) FOGA 2005. LNCS, vol. 3469, pp. 260-281. Springer, Heidelberg (2005)
64. Jagerskupper, J.: Probabilistic runtime analysis of (1 + λ )es using isotropic mu-
tations. In: Proceedings of the 8th conference on Genetic and evolutionary com-
putation - GECCO, pp. 461-468. ACM Press, New York (2006)
65. Jimenez, F., Verdegay, J.L.: Evolutionary techniques for constrained optimization
problems. In: Zimmermann, H.-J. (ed.) 7th European Congress on Intelligent
Techniques and Soft Computing (EUFIT 1999), Aachen, Verlag Mainz (1999)
66. Joines, J., Houck, C.: On the use of non-stationary penalty functions to solve
nonlinear constrained optimization problems with GAs. In: Fogel, D.B. (ed.) Pro-
ceedings of the 1st IEEE Conference on Evolutionary Computation, Orlando,
Florida, pp. 579-584. IEEE Press, Los Alamitos (1994)
67. Jong, K.A.D.: An analysis of the behavior of a class of genetic adaptive systems.
PhD thesis, University of Michigan (1975)
68. Kanji, G.: 100 Statistical Tests. SAGE Publications, London (1993)
69. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE
International Conference on Neural Networks, pp. 1942-1948 (1995)
70. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means
of Natural Selection. MIT Press, Cambridge (1992)
71. Koziel, S., Michalewicz, Z.: Evolutionary algorithms, homomorphous mappings,
and constrained parameter optimization. Evolutionary Computation 7(1), 19-44
(1999)
72. Kramer, O., Brugger, S., Lazovic, D.: Sex and death: towards biologically inspired
heuristics for constraint handling. In: Proceedings of the 9th conference on genetic
and evolutionary computation - GECCO, pp. 666-673. ACM Press, New York
(2007)