Citations
- PUBLICATIONS
- CITATIONS LIST
- 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.
- 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.
- 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.
- 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.
- Shi, Y., Particle Swarm Optimization, IEEE coNNections, 2 (1), pp.
8-13, 2004, ISSN: 1543-4281.
It cites paper C2.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Wetter, M., GenOpt ® Generic Optimization Program, User Manual,
Version 2.0.0, Lawrence Berkeley National Laboratory, 2004.
It cites
papers C1 and C2.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Wang, X., SQP algorithms in balancing rotating machinery, Mechanical
Systems and Signal Processing, in press, 2006.
It cites paper
C2.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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