群智能算法可并行性分析及其FPGA实现

分析了量子行为的粒子群QPSO算法和粒子间相互协作的CQPSO算法结构的可并行性，并结合FPGA技术可并行处理信息的特点，说明了在并行运算模式下粒子的收敛性能。实验验证了QPSO和CQPSO算法的可并行性，并得到粒子收敛的相关数据，数据表明CQPSO算法粒子的收敛精度要远优于QPSO算法，但是粒子的收敛速度上面要远低于QPSO算法。

Parallel analysis of swarm intelligence algorithm and FPGA Implementation

The structure about the Quantum-behaved PSO algorithm QPSO and an improved hybrid QPSO algorithm with cooperative method between particles CQPSO, whose structure can be parallel is analysed.Then combing with FPGA technology characters which can be parallel processing of information, indicates the convergence of particles performance in parallel operation mode.Experiments verify the QPSO and CQPSO algorithm which can be parallel and get the related data about the convergence performance of the particles.The data show that CQPSO algorithm is far superior to QPSO algorithm in the convergence accuracy of particles,but CQPSO algorithm is far lower than the QPSO algorithm in the convergence speed of the particles.