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[354] DS Hawkins, DM Allen, and AJ Stromberg Determining the number of components 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 Perceptron 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, Workshop 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 JR Koza, editor, Late Breaking Papers at the Genetic Programming Conference, pages 47 55, Stanford University, CA, 1996 Stanford Bookstore [359] Z He, C Wei, L Yang, X Gao, S Yao, RC Eberhart, and Y Shi Extracting Rules from Fuzzy Neural Network by Particle Swarm Optimization In Proceedings of the IEEE Congress on Evolutionary Computation, pages 74 77, 1998 [360] T Hendtlass A Combined Swarm Di erential Evolution Algorithm for Optimization Problems In Proceedings of the Fourteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert 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 Proceedings 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 SelfAdaptation for Evolution Strategies In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1550 1557, 1999 [365] WD Hillis Co-Evolving Parasites Improve Simulated Evolution as an Optimization Procedure In S Forrest, editor, Emergent Computation: SelfOrganizing, Collective, and Cooperative Computing Networks, pages 228 234 MIT Press, 1990 [366] R Hinterding Gaussian Mutation and Self-Adaption for Numeric Genetic Algorithms In Proceedings of the International Conference on Evolutionary Computation, 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
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[369] RJW Hodgson Particle Swarm Optimization Applied to the Atomic Cluster Optimization Problem In Proceedings of the Genetic and Evolutionary Computation Conference, pages 68 73, 2002 [370] K Hoe, W Lai, and T Tai Homogeneous Ants for Web document Similarity Modeling and Categorization In Proceedings of the Third International Workshop on Ant Algorithms, Lecture Notes in Computer Science, volume 2463, pages 256 261 Springer-Verlag, 2002 [371] J Ho meyer The Swarming Body In I Rauch and GF Carr, editors, Semiotics Around the World, Proceedings of the Fifth Congress of the International Association for Semiotic Studies, pages 937 940, 1994 [372] S Hofmeyr An Immunological Model of Distributed Detection and Its Application to Computer Security PhD thesis, University of New Mexico, 1999 [373] S Hofmeyr and S Forrest Immunity by Design: An Arti cial Immune System In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1289 1296, 1999 [374] S Hofmeyr and S Forrest Architecture for an Arti cial Immune System Evolutionary Computation, 8(4):443 473, 2000 [375] A Hole Vapnik-Chervonenkis Generalization Bounds for Real Valued Neural Networks Neural Computation, 8:1277 1299, 1996 [376] JH Holland Adaptation in Natural and Artificial Systems University of Michigan Press, Ann Arbor, 1975 [377] JH Holland ECHO: Explorations of Evolution in a Miniature World In JD Farmer and J Doyne, editors, Proceedings of the Second Conference on Artificial Life, 1990 [378] B H lldobler and EO Wilson Journey of the Ants: A Story of Scientific o Exploration Harvard University Press, 1994 [379] L Holmstr m and P Koistinen Using Additive Noise in Back-Propagation o Training IEEE Transactions on Neural Networks, 3:24 38, 1992 [380] A Homaifar, AH-Y Lai, and X Qi Constrained Optimization via Genetic Algorithms Simulation, 2(4):242 254, 1994 [381] A Hoorfar Mutation-Based Evolutionary Algorithms and their Applications to Optimization of Antennas in Layered Media In Proceedings of the Antennas and Propagation Society International Symposium, volume 4, pages 2876 2879, 1999 [382] J Horn, N Nafpliotis, and DE Goldberg A Niched Pareto Genetic Algorithm for Multiobjective Optimization In Proceedings of the IEEE Symposium on Circuits and Systems, pages 2264 2267, 1991 [383] K Hornik Multilayer Feedforward Networks are Universal Approximators Neural Networks, 2:359 366, 1989 [384] O Hrstka and A Kucerov Improvements of Real Coded Genetic Algorithms a Based on Di erential Operators Preventing Premature Convergence Advances in Engineering Software, 35(3-4):237 246, 2004 [385] X Hu and RC Eberhart Tracking Dynamic Systems with PSO: Where s the Cheese In Proceedings of the Workshop on Particle Swarm Optimization, pages 80 83, 2001
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