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[76] C Blum Beam-ACO Hybridizing Ant Colony Optimization with Beam Search: An Application to Open Shop Scheduling Computers and Operations Research, 32(6):1565 1591, 2004 [77] E Bonabeau, M Dorigo, and G Theraulaz Swarm Intelligence: From Natural to Artificial Systems Oxford University Press, 1999 [78] E Bonabeau, G Theraulaz, V Fourcassi , and J-L Deneubourg The Phasee Ordering Kinetics of Cemetery Organization in Ants Physical Review E, 57:4568 4571, 1998 [79] S B s Optimal Weight Decay in a Perceptron In Proceedings of the Internao tional Conference on Artificial Neural Networks, pages 551 556, 1996 [80] HM Botee and E Bonabeau Evolving Ant Colony Optimization Advanced in Complex Systems, 1:149 159, 1998 [81] D Braendler and T Hendtlass The Suitability of Particle Swarm Optimization for Training Neural Hardware In Proceedings of the Fifteenth International Conference on Industrial and Engineering, Applications of Artificial Intelligence and Expert Systems, Lecture Notes in Computer Science, volume 2358, pages 190 199 Springer-Verlag, 2002 [82] J Branke Memory Enhanced Evolutionary Algorithm for Changing Optimization Problems In Proceedings of the IEEE Congress on Evolutionary Computation, volume 3, pages 1875 1882, 1999 [83] J Branke Evolutionary Optimization in Dynamic Environments Springer, 2001 [84] L Breiman Bagging Predictors Machine Learning, 24(2):123 140, 1996 [85] H Bremermann, M Rogson, and S Sala Global Properties of Evolution Processess In H Pattee, E Edlsack, L Fein, and A Callahan, editors, Natural Automata and Useful Simulations, pages 3 41, Washington, DC, 1966 Spartan Books [86] HJ Bremermann Optimization through Evolution and Recombination In MC Yovits, GT Jacobi, and GD Goldstine, editors, Self-Organization Systems, pages 93 106 Spartan Books, 1962 [87] P Bretscher and M Cohn A Theory of Self-Nonself Discrimination Science, 169:1042 1049, 1970 [88] R Brits Niching Strategies for Particle Swarm Optimization Master s thesis, Department of Computer Science, University of Pretoria, 2002 [89] R Brits, AP Engelbrecht, and F van den Bergh A Niching Particle Swarm Optimizer In Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning, pages 692 696, 2002 [90] R Brits, AP Engelbrecht, and F van den Bergh Solving Systems of Unconstrained Equations using Particle Swarm Optimization In Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, volume 3, pages 102 107, Oct 2002 [91] R Brits, AP Engelbrecht, and F van den Bergh Locating Multiple Optima using Particle Swarm Optimization Applied Mathematics and Computation, 2007 [92] DS Broomhead and D Lowe Multivariate Functional Interpolation and Adaptive Networks Complex Systems, 2:321 355, 1988
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[93] MD Bugajska and AC Schultz Anytime Coevolution of Form and Function In Proceedings of the IEEE Congress on Evolutionary Computation, volume 1, pages 359 366, 2003 [94] B Bullnheimer, G Kotsis, and C Strauss Parallelization Strategies for The Ant System In G Toraldo A Murli, P Pardalos, editor, Kluwer Series on Applied Optimization, pages 87 100, 1997 [95] WL Buntine and AS Weigend Computing Second Order Derivatives in Feed-Forward Networks: A Review IEEE Transactions on Neural Networks, 5(3):480 488, 1994 [96] FM Burnet The Clonal Selection Theory of Acquired Immunity Vanderbilt University Press, Nashville, TN, 1959 [97] FM Burnet Clonal Selection and After In GI Bell, AS Perelson, and GH Pimbley Jr, editors, Theoretical Immunology, pages 63 85 Marcel Dekker Inc, New York, 1978 [98] P Burrascano A Pruning Technique Maximizing Generalization In Proceedings of the International Joint Conference on Neural Networks, volume 1, pages 347 350, 1993 [99] D Camara and AAF Loureiro A GPS/Ant-Like Routing Algorithm for Ad Hoc Networks In Proceedings of the IEEE Wireless Communications and Networking Conference, pages 1232 1236, 2000 [100] E Cant -Paz A Survey of Parallel Genetic Algorithms Calculateurs Paralleles, u Reseaux et Systems Repartis, 10(2):141 171, 1998 [101] E Cant -Paz Migration Policies and Takeover Times in Parallel Genetic Alu gorithms In W Banzhaf, J Daida, AE Eiben, MH Garzon, V Honavar, M Jakiela, and RE Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, page 775, San Francisco, CA, 1999 Morgan Kaufmann [102] E Cant -Paz Migration Policies, Selection Pressure, and Parallel Evolutionary u Algorithms Technical Report IlliGAL Report No 99015, University of Illinois at Urbana-Champaign, 1999 [103] E Cant -Paz Parallel Genetic Algorithms with Distributed Panmictic Popuu lations Technical Report IlliGAL Report No 99006, University of Illinois at Urbana-Champaign, 1999 [104] E Cant -Paz Topologies, Migration Rates, and Multi-Population Parallel u Genetic Algorithms In W Banzhaf, J Daida, AE Eiben, MH Garzon, V Honavar, M Jakiela, and RE Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, pages 91 98, San Francisco, CA, 1999 Morgan Kaufmann [105] P Cardoso, M Jes s, and A M rquez MONACO Multi-Objective Network u a Optimization Based on an ACO In Proceedings of Encuentros de Geometr a Computacional, 2003 [106] A Carlisle Applying the Particle Swarm Optimizer to Non-Stationary Environments PhD thesis, Auburn University, 2002 [107] A Carlisle and G Dozier Adapting Particle Swarm Optimization to Dynamic Environments In Proceedings of the International Conference on Artificial Intelligence, pages 429 434, 2000
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