
510 REFERENCES
[354] D.S. Hawkins, D.M. Allen, and A.J. Stromberg. Determining the number of com-
ponents in mixtures of linear models. Computational Statistics & Data Analysis,
38(1):15–48, 2001.
[355] M. Hayashi. A Fast Algorithm for the Hidden Units in a Multilayer Percep-
tron. In Proceedings of the International Joint Conference on Neural Networks,
volume 1, pages 339–342, 1993.
[356] S. Haykin. Neural Networks: A Comprehensive Foundation. MacMillan, 1994.
[357] T. Haynes and S. Sen. Evolving Behavioral Strategies in Predators and Prey. In
S. Sen, editor, International Joint Conference on Artificial Intelligence, Work-
shop on Adaptation and Learning in Multiagent Systems, pages 32–37, Montreal,
Quebec, Canada, 1995. Morgan Kaufmann.
[358] T. Haynes and S. Sen. Cooperation of the Fittest. In J.R. Koza, editor, Late
Breaking Papers at the Genetic Programming Conference, pages 47–55, Stanford
University, C.A., 1996. Stanford Bookstore.
[359] Z. He, C. Wei, L. Yang, X. Gao, S. Yao, R.C. Eberhart, and Y. Shi. Extracting
Rules from Fuzzy Neural Network by Particle Swarm Optimization. In Proceed-
ings of the IEEE Congress on Evolutionary Computation, pages 74–77, 1998.
[360] T. Hendtlass. A Combined Swarm Differential Evolution Algorithm for Opti-
mization Problems. In Proceedings of the Fourteenth International Conference
on Industrial and Engineering Applications of Artificial Intelligence and Ex-
pert Systems, Lecture Notes in Computer Science, volume 2070, pages 11–18.
Springer-Verlag, 2001.
[361] T. Hendtlass and M. Randall. A Survey of Ant Colony and Particle Swarm
Meta-Heuristics and Their Application to Discrete Optimization Problems. In
Proceedings of the Inaugural Workshop on Artificial Life, pages 15–25, 2001.
[362] A. Hertz, E. Taillard, and R. de Werra. A Tutorial on Tabu Search. In Proceed-
ings of Giornate di Lavoro (Enterprise Systems: Management of Technical and
Organizational Changes), pages 13–24, 1995.
[363] H. Higashi and H. Iba. Particle Swarm Optimization with Gaussian Mutation.
In Proceedings of the IEEE Swarm Intelligence Symposium, pages 72–79, 2003.
[364] L. Hildebrand, B. Reusch, and M. Fathi. Directed Mutation – A New Self-
Adaptation for Evolution Strategies. In Proceedings of the IEEE Congress on
Evolutionary Computation, pages 1550–1557, 1999.
[365] W.D. Hillis. Co-Evolving Parasites Improve Simulated Evolution as an Op-
timization Procedure. In S. Forrest, editor, Emergent Computation: Self-
Organizing, Collective, and Cooperative Computing Networks, pages 228–234.
MIT Press, 1990.
[366] R. Hinterding. Gaussian Mutation and Self-Adaption for Numeric Genetic Al-
gorithms. In Proceedings of the International Conference on Evolutionary Com-
putation, volume 1, page 384, 1995.
[367] N. Hirata, A. Ishigame, and H. Nishigaito. Neuro Stabilizing Control Based on
Lyapunov Method for Power System. In Proceedings of the Fourty-First SICE
Annual Conference, volume 5, pages 3169–3171, 2002.
[368] Y. Hirose, K. Yamashita, and S. Hijiya. Back-Propagation Algorithm which
Varies the Number of Hidden Units. Neural Networks, 4:61–66, 1991.