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[753] J Salerno Using the Particle Swarm Optimization Technique to Train a Recurrent Neural Model In Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, pages 45 49, November 1997 [754] A Salman, I Ahmad, and S Al-Madani Particle Swarm Optimization for Task Assignment Problem Microprocessors and Microsystems, 26(8):363 371, 2002 [755] R Salomon and JL van Hemmen Accelerating Backpropagation through Dynamic Self-Adaptation Neural Networks, 9(4):589 601, 1996 [756] T Sanger Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network Neural Networks, 2:459 473, 1989 [757] S Sara janovic and J Le Boudec An Arti cial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal and Memory Detectors In Proceedings of Third International Conference on Artificial Immune Systems, pages 342 356, 2004 [758] H Sarimveis and A Nikolakopoulos A Line Up Evolutionary Algorithm for Solving Nonlinear Constrained Optimization Problems Computers & Operations Research, 32(6):1499 1514, 2005 [759] MA Sartori and PJ Antsaklis A Simple Method to Derive Bounds on the Size and to Train Multilayer Neural Networks IEEE Transactions on Neural Networks, 2(4):467 471, 1991 [760] JD Scha er Some Experiments in Machine Learning using Vector Evaluated Genetic Algorithms PhD thesis, Vanderbilt University, 1984 [761] JD Scha er Multiple Objective Optimization with Vector Evaluated Genetic Algorithms In Proceedings of the First International Conference on Genetic Algorithms, pages 93 100, 1985 [762] L Schindler, D Kerrigan, and J Kelly Understanding the Immune System Science Behind the News - National Cancer Institute, http://newscentercancergov/cancertopics/understandingcancer/immunesystem, 2002 [763] C Schittenkopf, G Deco, and W Brauer Two Strategies to Avoid Over tting in Feedforward Neural Networks Neural Networks, 10(30):505 516, 1997 [764] H Schmidt and G Thierauf A Combined Heuristic Optimization Technique Advances in Engineering Software, 36(1):11 19, 2005 [765] JF Schutte and AA Groenwold A Study of Global Optimization Using Particle Swarms Journal of Global Optimization, 31(1):93 108, 2001 [766] JF Schutte and AA Groenwold Sizing Design of Truss Structures using Particle Swarms Structural and Multidisciplinary Optimization, 25(4):261 269, 2003 [767] DB Schwartz, VK Samalam, SA Solla, and JS Denker Exhaustive Learning Neural Computation, 2:374 385, 1990 [768] H-P Schwefel Evolutionsstrategie und numerische Optimierung PhD thesis, Technical University Berlin, 1975 [769] H-P Schwefel Numerical Optimization of Computer Models John Wiley, Chichester, UK, 1981 [770] H-P Schwefel Evolution and Optimum Seeking Wiley, New York, 1995 [771] BR Secrest Travelling Salesman Problem for Surveillance Mission Planning using Particle Swarm Optimization Master s thesis, School of Engineering and Management of the Air Force Institute of Technology, Air University, 2001
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[772] BR Secrest and GB Lamont Visualizing Particle Swarm Optimization Gaussian Particle Swarm Optimization In Proceedings of the IEEE Swarm Intelligence Symposium, pages 198 204, 2003 [773] T Sejnowski Storing Covariance with Nonlinearly Interacting Neurons Journal of Mathematical Biology, 4:303 321, 1997 [774] AB Sendova-Franks and NR Franks Self-Assembly, Self-Organization and Division of Labour Philosophical Transactions of the Royal Society of London, 354:1395 1405, 1999 [775] PS Sensarma, M Rahmani, and A Carvalho A Comprehensive Method for Optimal Expansion Planning using Particle Swarm Optimization In Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, volume 2, pages 1317 1322, 2002 [776] M Settles and B Rylander Neural Network Learning using Particle Swarm Optimizers Advances in Information Science and Soft Computing, pages 224 226, 2002 [777] HS Seung, M Opper, and H Sompolinsky Query by Committee In Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, pages 287 299, 1992 [778] S Sevenster and AP Engelbrecht GARTNet: A Genetic Algorithm for Routing in Telecommunications Networks In Proceedings of CESA96 IMACS Multiconference on Computational Engineering in Systems Applications, Symposium on Control, Optimization and Supervision, volume 2, pages 1106 1111, 1996 [779] L Shi, G Xu, and Z Hua A New Heuristic Evolutionary Programming and its Application in Solution of the Optimal Power Flow I Primary Principle of Heuristic Evolutionary Programming In Proceedings of the International Conference on Power System Technology, volume 1, pages 762 770, 1998 [780] Y Shi and RC Eberhart A Modi ed Particle Swarm Optimizer In Proceedings of the IEEE Congress on Evolutionary Computation, pages 69 73, 1998 [781] Y Shi and RC Eberhart Parameter Selection in Particle Swarm Optimization In Proceedings of the Seventh Annual Conference on Evolutionary Programming, pages 591 600, 1998 [782] Y Shi and RC Eberhart Empirical Study of Particle Swarm Optimization In Proceedings of the IEEE Congress on Evolutionary Computation, volume 3, pages 1945 1950, 1999 [783] Y Shi and RC Eberhart Fuzzy Adaptive Particle Swarm Optimization In Proceedings of the IEEE Congress on Evolutionary Computation, volume 1, pages 101 106, 2001 [784] Y Shi and RA Krohling Co-Evolutionary Particle Swarm Optimization to Solve Min-Max Problems In Proceedings of the IEEE Congress on Evolutionary Computation, volume 2, pages 1682 1687, 2002 [785] OM Shir and T B ck Dynamic Niching in Evolution Strategies with Covaria ance Matrix Adaptation In Proceedings of the IEEE Congress on Evolutionary Computation, volume 3, pages 2584 2591, 2005 [786] GM Shiraz, RE Marks, DF Midgley, and LG Cooper Using Genetic Algorithms to Breed Competitive Marketing Strategies In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, volume 3, pages 2367 2372, 1998
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