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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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[787] A Shmygelska and HH Hoos An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem In Proceedings of the Canadian Conference on Artificial Intelligence, pages 400 407, 2004 [788] A Sierra and A Echeverr The Polar Evolution Strategy In Proceedings of a the IEEE Congress on Evolutionary Computation, pages 2301 2306, 2006 [789] J Sietsma and RJF Dow Creating Arti cial Neural Networks that Generalize Neural Networks, 4:67 79, 1991 [790] A Silva, A Neves, and E Costa An Empirical Comparison of Particle Swarm and Predator Prey Optimisation In Proceedings of the Thirteenth Irish Conference on Artificial Intelligence and Cognitive Science, Lecture Notes in Artificial Intelligence, volume 2464, pages 103 110 Springer-Verlag, 2002 [791] KM Sim and WH Sun Multiple Ant-Colony Optimization for Network Routing In Proceedings of the First International Symposium on Cyber Worlds, pages 277 281, 2002 [792] K Sims Arti cial Evolution for Computer Graphics Computer Graphics, 25(4):319 328, 1991 [793] K Sims Evolving Virtual Creatures In Computer Graphics, Annual Conference Series, ACM SIGGRAPH, pages 15 22, 1994 [794] N Sinha and B Purkayastha PSO Embedded Evolutionary Programming Technique for Nonconvex economic Load Dispatch In Proceedings of the IEEE Power Systems Conference and Exposition, volume 1, pages 66 71, 2004 [795] N Sinha, R Shakrabarti, and PK Chattopadhyay Fast Evolutionary Programming Techniques for Short-Term Hydrothermal Scheduling IEEE Transactions on Power Systems, 18(1):214 220, 2003 [796] P Slade and TD Gedeon Bimodal Distribution Removal In J Mira, J Cabestany, and A Prieto, editors, Proceedings of the International Workshop on Artificial Neural Networks, pages 249 254, Berlin, 1993 Springer-Verlag [797] J Smith and TC Fogarty Self Adaptation of Mutation Rates in A Steady State Genetic Algorithm In Proceedings of the IEEE International Conference on Evolutionary Computation, pages 318 323, 1996 [798] J Smith and F Vavak Replacement Strategies in Steady State Genetic Algorithms: Static Environments Technical report, Intelligent Computer System Centre, University of the West of England, Bristol, England, 1998 [799] JA Snyman A New and Dynamic Method for Unconstrained Minimization Applied Mathematical Modelling, 6:449 462, 1882 [800] JA Snyman An Improved Version of the Original LeapFrog Dynamic Method for Unconstrained Minimization: LFOP1(b) Applied Mathematical Modelling, 7:216 218, 1983 [801] K Socha The In uence of Run-Time Limits on Choosing Ant System Parameters In Proceedings of GECCO 2003 -- Genetic and Evolutionary Computation Conference, volume 2723, pages 49 60, 2003 [802] FJ Solis and RJ-B Wets Minimization by Random Search Techniques Mathematical Operations Research, 6:19 30, 1981 [803] A Somayaji and S Forrest Automated Response Using System-Call Delays In Proceedings of the Nineth Unisex Security Symposium, pages 185 197, 2000.

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Printing barcode labels in VB.NET. In this example, we will print barcode labels on laser and thermal printers using the standard .NET's PrintDocument class and​ ...

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