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[167] Y Le Cun, I Kanter, and SA Solla Second Order Properties of Error Surfaces: Learning Time and Generalization In RP Lippmann, JE Moody, and DS Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, pages 918 924, 1990 [168] T Czernichow Architecture Selection through Statistical Sensitivity Analysis In Proceedings of the International Conference on Artificial Neural Networks, pages 179 184, 1996 [169] N Damavandi and S Safavi-Nacini A Hybrid Evolutionary Programming Method for Circuit Optimization IEEE Transactions on Circuits and Systems - I: Regular Papers, 52(5):902 910, 2005 [170] C Darken and J Moody Note on Learning Rate Schedules for Stochastic Optimization In R Lippmann, J Moody, and DS Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, 1991 [171] PJ Darwen and JB Pollack Co-Evolutionary Learning on Noisy Tasks In PJ Angeline, Z Michalewicz, M Schoenauer, X Yao, and A Zalzala, editors, Proceedings of the IEEE Congress on Evolutionary Computation, volume 3, pages 1724 1731, 6-9 1999 [172] PJ Darwen and X Yao Speciation as Automatic Categorical Modularization IEEE Transactions on Evolutionary Computation, 1(2):101 108, 1997 [173] CR Darwin On the Origin of Species by Means of Natural Selection or Preservation of Favoured Races in the Struggle for Life Murray, London, 1859 [174] I Das and J Dennis A Closer Look at Drawbacks of Minimizing Weighted Sums of Objectives for Pareto Set Generation in Multicriteria Optimization Problems Structural Optimization, 14(1):63 69, 1997 [175] D Dasgupta Artificial Immune Systems and their Applications Springer: Berlin, 1998 [176] D Dasgupta and S Forrest An Anomaly Detection Algorithm Inspired by the Immune System In D Dasgupta, editor, Artificial Immune Systems and Their Applications, pages 262 277 Springer-Verlag, 1999 [177] J Davidson Stochastic Limit Theory Oxford Scholarship Online Monographs, 1994 [178] L Davis Hybridization and Numerical Representation In L Davis, editor, The Handbook of Genetic Algorithms, pages 61 71 Van Nostrand Reinhold, 1991 [179] R Dawkins The Blind Whatchmaker Norton, New York, 1986 [180] RM de A Silva and GL Ramalho Ant System for the Set Covering Problem In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pages 3129 3133, 2001 [181] LN de Castro and J Timmis An Arti cial Immune Network for Multimodal Function Optimization In Proceedings of the IEEE Congress on Evolutionary Computation, pages 699 704, 2002 [182] LN de Castro and J Timmis Artificial Immune Systems: A New Computational Approach Springer-Verlag, London, UK, 2002 [183] LN de Castro and FJ Von Zuben Arti cial Immune Systems: Part I - Basic Theory and Applications Technical Report DCA-RT 01/99, Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas, Brazil, 1999.

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[184] LN de Castro and FJ Von Zuben An Evolutionary Immune Network for Data Clustering In Proceedings of the IEEE Brazilian Symposium on Artificial Neural Networks, pages 84 89, 2000 [185] LN de Castro and FJ Von Zuben Arti cial Immune Systems: Part II - A Survey Of Applications Technical Report DCA-RT 02/00, Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas, Brazil, February 2000 [186] LN de Castro and FJ Von Zuben The Clonal Selection Algorithm with Engineering Applications In Proceedings of the Genetic and Evolutionary Computational Conference, pages 36 37, 2000 [187] LN de Castro and FJ Von Zuben AiNet: An Arti cial Immune Network for Data Analysis In Hussein A Abbass, Ruhul A Sarker, and Charles S Newton, editors, Data Mining: A Heuristic Approach Idea Group Publishing, USA, 2001 [188] LN de Castro and FJ Von Zuben An Immunological Approach to Initialize Centers of Radial Basis Function Neural Networks In Proceedings of the Fifth Brazilian Conference on Neural Networks, pages 79 84, 2001 [189] LN de Castro and FJ Von Zuben An Immunological Approach to Initialize Feedforward Neural Network Weights In Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms, pages 126 129, 2001 [190] LN de Castro and FJ Von Zuben Learning and Optimization Using the Clonal Selection Principle IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems, 6(3):239 251, 2002 [191] K de Jong An Analysis of the Behavior of a Class of Genetic Adaptive Systems PhD thesis, University of Michigan, 1975 [192] K de Jong and J Sarma Generation Gaps Revisited In Foundations of Genetic Algorithms, volume 2, pages 19 28 Morgan Kaufmann, 1992 [193] KA de Jong and RW Morrison A Test Problem Generator for Non-Stationary Environments In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2047 2053, 1999 [194] KA de Jong and MA Potter Evolving Complex Structures via Cooperative Coevolution In Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 307 317, Cambridge, MA, 1995 MIT Press [195] K Deb Multi-Objective Optimization using Evolutionary Algorithms Wiley & Sons, 2002 [196] K Deb and RB Agrawal Simulated Binary Crossover for Continuous Space Complex Systems, 9:115 148, 1995 [197] K Deb, S Agrawal, A Patrap, and T Meyarivan A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II In Proceedings of the Sixth Parallel Problem Solving in Nature Conference, pages 849 858, 2000 [198] K Deb, D Joshi, and A Anand Real-Coded Evolutionary Algorithms with Parent-Centric Recombination In Proceedings of the IEEE Congress on Evolutionary Computation, pages 61 66, 2002.

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