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[417] C Jiang and C Wang Improved Evolutionary Programming with Dynamic Mutation and Metropolis Criteria for Multi-Objective Reactive Power Optimisation IEE Proceedings, 152(2):291 294, 2005 [418] C Jiang and C Wang Improved evolutionary programming with dynamic mutation and metropolis criteria for multi-objective reactive power optimisation IEE Proceedings: Generation, Transmission and Distribution, 152(2), 2005 [419] X Jin and RG Reynolds Using Knowledge-Based Evolutionary Computation to Solve Nonlinear Constraint Optimization Problems: A Cultural Algorithm Approach In Proceedings of the IEEE Congress on Evolutionary Computation, volume 3, pages 1672 1678, 1999 [420] X Jin and RG Reynolds Mining Knowledge in Large Scale Databases using Cultural Algorithms with Constraint Handling Mechanisms In Proceedings of the IEEE Congress on Evolutionary Computation, volume 2, pages 1498 1506, 2000 [421] Y Jin, M Olhofer, and B Sendho Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why Does It Work and How In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1042 1049, 2001 [422] Y Jin, M Olhofer, and B Sendho Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why does it Work and How In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1042 1049, 2001 [423] DS Johnson and LA McGeoch The Traveling Salesman Problem: A Case Study in Local Optimization In JK Lenstra EHL Aarts, editor, Local Search in Combinatorial Optimization, pages 215 310 John Wiley & Sons, 1997 [424] J Johnson and M Sugisaka Complexity Science for the Design of Swarm Robot Control Systems In Proceedings of the Twenty-Sixth Annual Conference of the IEEE Industrial Electronics Society, volume 1, pages 695 700, 2000 [425] JA Joines and CR Houck On the Use of Non-Stationary Penalty Functions to Solve Nonlinear Constrained Optimization Problems with Genetic Algorithms In Proceedings of the IEEE Congress on Evolutionary Computation, pages 579 584, 1994 [426] IT Jolli e Principal Component Analysis Springer-Verlag, New York, USA, 1986 [427] T Jones Crossover, Macromutation, and Population-based Search In L Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 73 80, San Francisco, CA, 1995 Morgan Kaufmann [428] MI Jordan Attractor Dynamics and Parallelism in a Connectionst Sequential Machine In Proceedings of the Cognitive Science Conference, pages 531 546, 1986 [429] R Joshi and AC Sanderson Minimal Representation Multisensor Fusion using Di erential Evolution In Proceedings of the International Symposium on Computational Intelligence in Robotics and Automation, pages 255 273, 1997 [430] C-F Juang A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 34(2):997 1006, 2003
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[431] JH Jun, DW Lee, and KB Sim Realization of Cooperative Swarm Behavior in Distributed Autonomous Robotic Systems using Arti cial Immune System In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, volume 6, pages 614 619, 1999 [432] LP Kaelbling, MI Littman, and AW Moore Reinforcement Learning: A Survey Journal of Artificial Intelligence Research, 4:237 285, 1996 [433] T Kaji Approach by Ant Tabu Agents for Traveling Salesman Problem In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, volume 5, pages 3429 3434, 2001 [434] R Kamimura Principal Hidden Unit Analysis: Generation of Simple Networks by Minimum Entropy Method In Proceedings of the International Joint Conference on Neural Networks, volume 1, pages 317 320, 1993 [435] R Kamimura and S Nakanishi Weight Decay as a Process of Redundancy Reduction In IEEE World Congress on Computational Intelligence, Proceedings of the International Joint Conference on Neural Networks, volume 3, pages 486 491, 1994 [436] J Kamruzzaman, Y Kumagai, and H Hikita Study on Minimal Net Size, Convergence Behavior and Generalization Ability of Heterogeneous Backpropagation Network In I Aleksander and J Taylor, editors, Artificial Neural Networks, volume 2, pages 203 206, 1992 [437] S Kannan, SMR Slochanal, P Subbaraj, and NP Padhy Application of Particle Swarm Optimization Technique and its Variants to Generation Expansion Planning Electric Power Systems Research, 70(3):203 210, 2004 [438] MD Kapadi and RD Gudi Optimal Control of Fed-Batch Fermentation Involving Multiple Feeds using Di erential Evolution Process Biochemistry, 39(11):1709 1721, 2004 [439] N Karaboga, A Kalinli, and D Karaboga Designing Digital IIR Filters using Ant Colony Optimisation Algorithm Engineering Applications of Artificial Intelligence, 17:301 309, 2004 [440] S Karner Laws of Thought Encyclopedia of Philosophy, 4:414 417, 1967 [441] K-U Kasemir and K Betzler Detecting Ellipses of Limited Eccentricity in Images with High Noise Levels Image and Vision Computing, 21(10):221 227, 2003 [442] S Kaski, J Venna, and T Kohonen Coloring that Reveals Cluster Structures in Multivariate Data Australian Journal of Intelligent Information Processing Systems, 6:82 88, 2000 [443] M Kasper Shape Optimization by Evolution Strategies IEEE Transactions on Magnetics, 28(2):1556 1560, 1992 [444] IN Kassabalidis, MA El-Shurkawi, RJ Marks, LS Moulin, and AP Alves da Silva Dynamic Security Border Identi cation using Enhanced Particle Swarm Optimization IEEE Transactions on Power Systems, 17(3):723 729, 2002 [445] Y Katada, M Svinin, Y Matsumura, K Ohkura, and K Ueda Stable Grasp Planning by Evolutionary Programming IEEE Transactions on Industrial Electronics, 48(4):749 756, 2001
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