Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Hardware Architecture for Particle Swarm Optimization Using Floating-Point Arithmetic
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
Accelerating the performance of particle swarm optimization for embedded applications
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-Objective Swarm Intelligent Systems: Theory & Experiences
Multi-Objective Swarm Intelligent Systems: Theory & Experiences
Hardware/software co-design for particle swarm optimization algorithm
Information Sciences: an International Journal
Swarm grid: a proposal for high performance of parallel particle swarm optimization using GPGPU
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
A hardware accelerator for Particle Swarm Optimization
Applied Soft Computing
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The particle swarm optimisation or PSO is a heuristic based on a population of individuals, in which the candidates for a solution of the problem at hand evolve through a simulation process of a social adaptation simplified model. Combining robustness, efficiency and simplicity, PSO has gained great popularity as many successful applications are reported. The algorithm has proven to have several advantages over other algorithms that are based on swarm intelligence principles. The use of PSO for solving problems that involve computationally demanding functions often results in low performance. In order to accelerate the process, one can proceed with the parallelisation of the algorithm and/or mapping it directly onto hardware. This paper presents a novel massively parallel co-processor for PSO implemented in reconfigurable hardware. The implementation results show that the proposed architecture is very promising as it achieved superior performance in terms of execution time when compared to the direct software execution of the algorithm.