A modular and efficient hardware architecture for particle swarm optimization algorithm
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[1] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[2] Hamid Haj Seyyed Javadi,et al. Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target , 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.
[3] Byung-Il Koh,et al. Parallel asynchronous particle swarm optimization , 2006, International journal for numerical methods in engineering.
[4] Richard E. Haskell,et al. Accelerating the performance of particle swarm optimization for embedded applications , 2009, 2009 IEEE Congress on Evolutionary Computation.
[5] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[6] Richard E. Haskell,et al. Multi-swarm parallel PSO: Hardware implementation , 2009, 2009 IEEE Swarm Intelligence Symposium.
[7] D.M. Hanna,et al. Particle Swarm Optimization for classification of breast cancer data using single and multisurface methods of data separation , 2007, 2007 IEEE International Conference on Electro/Information Technology.
[8] T. E. Hull,et al. Random Number Generators , 1962 .
[9] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[10] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[11] Richard E. Haskell,et al. Hardware PSO for sensor network applications , 2008, 2008 IEEE Swarm Intelligence Symposium.
[12] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[13] Peter Martin,et al. An Analysis Of Random Number Generators For A Hardware Implementation Of Genetic Programming Using FPGAs And Handel-C , 2002, GECCO.
[14] Andres Upegui,et al. A Population-oriented Architecture for Particle Swarms , 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).
[15] Robert J. Marks,et al. FPGA implementation of particle swarm optimization for inversion of large neural networks , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[16] José Neves,et al. The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.
[17] Jaroslaw Sobieszczanski-Sobieski,et al. A Parallel Particle Swarm Optimization Algorithm Accelerated by Asynchronous Evaluations , 2005 .
[18] B J Fregly,et al. Parallel global optimization with the particle swarm algorithm , 2004, International journal for numerical methods in engineering.
[19] James Kennedy,et al. Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.
[20] Yizhen Zhang,et al. Particle swarm optimization for unsupervised robotic learning , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[21] Christian Posthoff,et al. Earthquake classifying neural networks trained with random dynamic neighborhood PSOs , 2007, GECCO '07.
[22] Thomas Stützle,et al. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions , 2006, ANTS Workshop.
[23] Chee-Yee Chong,et al. Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.
[24] Richard E. Haskell,et al. Particle Swarm Optimization for Emission Source Localization in Sensor Networks , 2009 .
[25] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[26] Andres Upegui,et al. Particle Swarm Optimization with Discrete Recombination: An Online Optimizer for Evolvable Hardware , 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).
[27] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[28] Amin Farmahini Farahani,et al. SOPC-Based Architecture for Discrete Particle Swarm Optimization , 2007, 2007 14th IEEE International Conference on Electronics, Circuits and Systems.
[29] Amin Farmahini Farahani,et al. Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence , 2008, 2008 Design, Automation and Test in Europe.
[30] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[31] Gabriella Kókai,et al. Using Hardware-Based Particle Swarm Method for Dynamic Optimization of Adaptive Array Antennas , 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).
[32] Thomas E. Potok,et al. Document clustering using particle swarm optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[33] Gisbert Schneider,et al. Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training , 2006, BMC Bioinformatics.
[34] Darrin M. Hanna,et al. Particle Swarm Optimization for Cluster-Based Classification of Breast Cancer Data , 2007, GEM.
[35] Tim Blackwell,et al. Understanding particle swarms through simplification: a study of recombinant PSO , 2007, GECCO '07.
[36] Thomas Stützle,et al. Ant Colony Optimization and Swarm Intelligence , 2008 .
[37] Bo Yang,et al. Survey on Applications of Particle Swarm Optimization in Electric Power Systems , 2007, 2007 IEEE International Conference on Control and Automation.
[38] Yutaka Maeda,et al. Simultaneous Perturbation Particle Swarm Optimization Using FPGA , 2007, 2007 International Joint Conference on Neural Networks.
[39] Jianming Zhang,et al. Optimization design based on PSO algorithm for PID controller , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
[40] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.