Citations




PUBLICATIONS


CITATIONS LIST


  1. Chen, X., O' Neill, K., Barrowes, B.E., Grzegorczyk, T.M., Kong, J.A., Application of a Spheroidal Mode Approach and Differential Evolution Algorithm in Inversion of Magneto-Quasistatic Data for UXO Discrimination, Inverse Problems, 20, pp. 27-40, 2004.
    It cites paper J1.

  2. Chandila, P.K., Agarwal, H., Renaud, J.E., An Efficient Strategy for Global Optimization Using Local Kriging Approximations, Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Vol. 5, pp. 3860-3882, 2004.
    It cites paper J1.

  3. Chang, B.C.H., Ratnaweera, A., Halgamuge, S.K., Watson, H.C., Particle Swarm Optimisation for Protein Motif Discovery, Genetic Programming and Evolvable Machines, 5, 203-214, 2004.
    It cites paper C1.

  4. Zhang, X., Yu, L., Zheng, Y., Shen, Y., Zhou, G., Chen, L., Xi, L., Yuan, T., Zhang, J., Yang, B., Two Stage Adaptive PMD Compensation in a 10 Gbit/s Optical Communication System Using Particle Swarm Optimization Algorithm, Optics Communications, 231, pp. 233-242, 2004.
    It cites paper C2.

  5. Shi, Y., Particle Swarm Optimization, IEEE coNNections, 2 (1), pp. 8-13, 2004, ISSN: 1543-4281.
    It cites paper C2.

  6. Zheng, Y., Zhang, X., Zhou, G., Shen, Y., Chen, L., Yu, L., Xi, L., Yang, B., Automatic PMD Compensation Experiment with Particle Swarm Optimization and Adaptive Dithering Algorithms for 10-Gb/s NRZ and RZ Formats, IEEE Journal of Quantum Electronics, 40 (4), pp. 427-435, 2004.
    It cites paper C2.

  7. Lin, W., Jiang, C., Qian, J., The Identification Research of Nonlinear System Based on PSO with Fuzzy Adaptive Inertia Weight, Proceedings of the World Congress on Intelligent Control and Automation (WCICA'04), Hangzhou, China, Vol. 1, pp. 267-271, 2004.
    It cites paper C2.

  8. Zhang, X., Yu, L., Zheng, Y., Shen, Y., Zhou, G., Xi, L., Yang, B., Adaptive PMD Compensation Using PSO Algorithm, OSA Trends in Optics and Photonics Series, Vol. 95 B, pp. 98-100, 2004.
    It cites paper C2.

  9. Jiang, H.-M., Xie, K., Wang, Y.-F., Design of Multi-Pumped Raman Fiber Amplifier by Particle Swarm Optimization, Guangdianzi Jiguang/Journal of Optoelectronics Laser, 15 (10), pp. 1190-1193 , 2004.
    It cites paper C2.

  10. Zhang, X., Zheng, Y., Shen, Y., Zhang, J., Yang, B., Particle Swarm Optimization Used as a Control Algorithm for Adaptive PMD Compensation, IEEE Photonics Technology Letters, 17 (1), pp. 85-87, 2005.
    It cites paper C2.

  11. Zheng, Y., Zhang, X., Shen, Y., Zhou, G., Yang, B., Automatic Polarization-Mode Dispersion Compensation by a Particle-Swarm Optimization Method and Adaptive Dithering Algorithm, Journal of Optical Society of America B, 22 (2), pp. 336-346, 2005.
    It cites paper C2.

  12. Wetter, M., GenOpt ® Generic Optimization Program, User Manual, Version 2.0.0, Lawrence Berkeley National Laboratory, 2004.
    It cites papers C1 and C2.

  13. Ratnaweera, A., Halgamuge, S.K., Watson, H.C., Self-Organizing Hierarchical Particle Swarm Optimizer with Time-Varying Acceleration Coefficients, IEEE Transactions on Evolutionary Computation, 8 (3), pp. 240-255, 2004.
    It cites papers C1 and C2.

  14. Boeringer, D.W., Werner, D.H., Particle Swarm Optimization Versus Genetic Algorithms for Phased Array Synthesis, IEEE Transactions on Antennas and Propagation, 52 (3), pp. 771-779, 2004.
    It cites papers C1 and C2.

  15. Buckner, M.A., Learning From Data with Localized Regression and Differential Evolution, Ph.D. Thesis, University of Tennessee, Knoxville, May 2003.
    It cites paper V1.

  16. Rastegar, R., Meybodi, M.R., Badie, K., A new discrete binary particle swarm optimization based on learning automata, Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04, pp. 456-462, 2004.
    It cites paper C2.

  17. Park, J.W., Park, S.H., Moon, J.J., Yoon, Y., Kim, S.J., High-Fidelity Simulation Based Optimum Design Utilizing Computing Grid Technology, 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, Austin, Texas, 18-21 April 2005, in press.
    It cites paper C1.

  18. Li, Y., Yao, D., Yao, J., Chen, W., A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning, Physics in Medicine and Biology, 50 (15), pp. 3491-3514, 2005.
    It cites paper C1.

  19. Boeringer, D.W., Werner, D.H., Efficiency-Constrained Particle Swarm Optimization of a Modified Bernstein Polynomial for Conformal Array Excitation Amplitude Synthesis, IEEE Transactions on Antennas and Propagation, 53(8), pp. 2662-2673, 2005.
    It cites paper C1.

  20. Breabǎn, M., Luchian, H., PSO under an adaptive scheme, 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings vol. 2, pp. 1212-1217, 2005.
    It cites paper C1.

  21. Acan, A., Gunay, A., Enhanced particle swarm optimization through external memory support, 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings vol. 2, pp. 1875-1882, 2005.
    It cites paper C2.

  22. Yeh, L.W., Optimal Procurement Policies for Multi-Product Multi-Supplier with Capacity Constraint and Price Discount, (in Chinese), The DHL Thesis Award in Supply Chain Management (SCM), Graduate: Li-Wen Yeh, Advisor: Dr. Ching-Jung Ting, Institute of Industrial Engineering and Management, Global Logistics Lab, Yuan-Ze University, 135 Yuan-Tung Road Chung-Li, Taoyuan County, Taiwan 320, July 2003.
    It cites paper C1.

  23. Zhang, X.G., Zheng, Y., Shen, Y., Zhang, J.Z., Yang, B.J., PSO Algorithm Used for Searching the Optimum of Automatic PMD Compensation, Proc. Optical Networks and Technologies: IFIP TC6 / WG6.10 First Optical Networks and Technologies Conference (OpNeTec), Pisa, Italy, pp. 507-516, Springer, 2004.
    It cites paper C2.

  24. Mantawy, A.H., Al-Ghamdi, M.S., A New Reactive Power Optimization Algorithm, Proc. 2003 IEEE Bologna Power Tech Conference, Bologna, Italy, Vol. 4, Page(s): 6, 2003.
    It cites paper C2.

  25. Fieldsend, J.E., Novel Algorithms for Multi-Objective Search and their Application in Multi-Objective Evolutionary Neural Network Training, Ph.D. Thesis, University of Exeter, U.K., 2003.
    It cites paper V1.

  26. Gomez-Cabrero, D., Ranasinghe, D.N., Fine-Tuning the Ant Colony System Algorithm Through Particle Swarm Optimization, Technical Report TR07-2005, Departamento de Estadistica e Investigacion Operativa, Universitat de Valencia, Burjassot, Spain, 2005.
    It cites paper C1.

  27. Sedlaczek, K., Eberhard, P., Constrained Particle Swarm Optimization of Mechanical Systems, 6th World Congresses of Structural and Multidisciplinary Optimization, Rio de Janeiro, Brazil, 2005.
    It cites paper C1.

  28. Asghari, V.R., Ardebilipour, M., Spread Spectrum Code Estimation by Particle Swarm Algorithm, Enformatika (Transactions on Engineering, Computing and Technology), 7, pp. 207-210, 2005.
    It cites paper C2.

  29. Asghari, V.R., Ardebilipour, M., Spread Spectrum Code Estimation by Particle Swarm Algorithm, International Journal of Signal Processing, 2, No. 4, pp. 268-272, 2005.
    It cites paper C2.

  30. Gomez-Cabrero, D., Armero, C., Nalin Ranashinge, D., A New Meta-Heuristic Framework: A-B-Domain, Technical Report No. TR01-2006, Departamento de Estadistica e Investigacion Operativa, Universitat de Valencia, Spain, 2006.
    It cites paper C1.

  31. Sedlaczek, K., Eberhard, P., Using Augmented Lagrangian Particle Swarm Optimization for Constrained Problems in Engineering, Structural and Multidisciplinary Optimization, 32, No. 4, pp. 277-286, 2006.
    It cites paper C1.

  32. Niu, Q., Gu, X., An Improved Genetic-Based Particle Swarm Optimization for No-Idle Permutation Flow Shops with Fuzzy Processing Time, Lecture Notes in Computer Science (LNCS), Springer Berlin / Heidelberg, 4099, pp. 757 - 766, 2006.
    It cites paper C2.

  33. Chandila, P.K., Strategy for global optimization and post-optimality using local Kriging approximations, Thesis for the Degree of Master of Science, Graduate Program in Aerospace and Mechanical Engineering, Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana, U.S.A., April 2004.
    It cites paper J1.

  34. Wang, X., SQP algorithms in balancing rotating machinery, Mechanical Systems and Signal Processing, in press, 2006.
    It cites paper C2.

  35. Redi, J., Tecniche di computational intelligence per la fattorizzazione di numeri grandi, Tesi di laurea magistrale, Corso di Laurea in Ingegneria Elettronica, Dipartimento di Ingegneria Biofisica ed Elettronica, Facolta di Ingegneria, Universita degli Studi di Genova, Genova, Italia, 2006.
    It cites papers J5 and J6.

  36. Huang, F., Fan, X.P., Qu, Z.H., Reconstruction of Extended Superquadric Models by Cooperative Evolution Parallel PSO Algorithm, Computer Engineering and Applications, 42, No.13, pp. 15-18, 2006.
    It cites paper C2.

  37. Zhang, Z.-Y., Ge S.-Y., Liu, Z.-F., Particle swarm optimization algorithm and its application in unit commitment, Electric Power Automation Equipment, 26, No.5, pp. 28-31, 2006.
    It cites paper C2.

  38. Jiang, H.-M., Xie, K., Ren, C., Wang, Y.-F., Novel particle swarm optimization with stochastic stagnation, Journal of Sichuan University (Engineering Science Edition), 38, No. 4, pp. 117-121, 2006.
    It cites paper C2.

  39. Wang, L., Liu, Y., Xu, Y., Multi-objective PSO algorithm based on fitness sharing and online elite archiving, Lecture Notes in Computer Science (LNCS), 4113, pp. 964-974, 2006.
    It cites paper C2.

  40. Yang, Q., Sun, J., Zhang, J., Wang C., A hybrid particle swarm optimization for binary CSPs, LNBI, Lecture Notes in Computer Science, 4115, pp. 39-49, 2006.
    It cites paper C1.

  41. Acan, A., Unveren, A., Bodur, M., The Latest vs. Averaged Recent Experience: Which Better Guides a PSO Algorithm?, Proceedings of the IEEE Congress on Evolutionary Computation (CEC) 2006, pp. 414-419, 2006.
    It cites paper C1.


Total Number of citations: 45