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- The application of the landscape adaptive particle swarm optimizer(LAPSO),which combines these two schemes,was studied. 空间自适应粒子群优化算法(LAPSO)有机融合上述2种改进机制。
- In order to solve the premature convergence problem of particle swarm optimization,a novel fuzzy adaptive Particle Swarm Optimization based on T-S model(T-SPSO) is presented. 摘要 针对微粒群优化算法存在的早熟问题,提出了一种基于T-S模型的模糊自适应PSO算法(T-SPSO算法)。
- The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy. 同时利用粒子群算法优化小波最小二乘支持向量机的参数,避免了人为选择参数的盲目性,从而提高了模型的预测精度。
- The paper presented the parallel cluster algorithm of adaptive particle swarm optimization, which adopted task parallelization and partial asynchronous communication to decrease the computing time. 摘要提出了基于自适应微粒群优化的并行聚类算法,采用了任务分布方案和部分异步并行通信,降低了计算时间。
- The paper presented the parallel cluster algorithm of adaptive particle swarm optimization,which adopted task parallelization and partial asynchronous communication to decrease the computing time. 提出了基于自适应微粒群优化的并行聚类算法,采用了任务分布方案和部分异步并行通信,降低了计算时间。
- adaptive particle swarm optimization 自适应粒子群优化
- adaptive particle swarm optlmization 自适应粒子群算法
- Adaptive Particle Swarm Optimizer (APSO) 自适应微粒群优化
- adaptive particle swarm optimization algorithm (APSO) APSO
- Adaptive Particle Swarm Algorithm with Dynamically Changing Inertia Weight 一种动态改变惯性权的自适应粒子群算法
- A Study of Constrained Layout Optimization Using Adaptive Particle Swarm Optimizer 基于自适应粒子群算法的约束布局优化研究
- Adaptive particle swarm optimization based predicted control algorithms and its application in balance control of heater bypass 基于自适应粒子群优化算法的预测控制算法及其在加热炉支管平衡中的应用
- adaptive particle swarm 自适应粒子群
- A new routing table is given,adaptive routing algorithm based on particle swarm optimization(PSORA) is designed and realized. 构造了一种新型的路由表,设计了基于粒子群优化的自适应网络路由算法(PSORA)。
- This paper proposes a novel adaptive sequential niche particle swarm optimization (ASNPSO) algorithm, which uses multiple sub-swarms to detect optimal solutions sequentially. 摘要提出了一种新颖的自适应串行小生境粒子群优化算法(ASNPSO),它使用多个子群能够串行发现多个最优解。
- Considering the premature convergence limitation of the basic particle swarm optimizer (PSO) algorithm, an improved adaptive PSO algorithm with mutation was proposed. 针对粒子群算法易早熟收敛的局限性,提出了一种带变异的改进自适应粒子群优化(PSO)算法。
- Then, it gave the solution procedure of adaptive mutation particle swarm optimization algorithm (AMPSO) and compared it with that of GA to show the validity of this algorithm. 然后给出了最优客户创意的自适应变异微粒群(AMPSO)算法的求解方法,并与遗传算法加以比较,证明该算法的有效性和先进性。
- In order to adapt to the characteristics of multi-constrained quality of service(QoS) routing in next generation internet(NGI),an intelligent QoS unicast routing algorithm based on PSO(particle swarm optimization) is presented. 为了适应下一代互联网对多个约束条件服务质量(QoS)的要求;提出了一种基于粒子群优化PSO(Par-ticle Swarm Optimization)的智能QoS单播路由算法.
- A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm. 摘要利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
- In this paper, we try to apply Binary System Particle Swarm Optimization (BSPSO) with death Penalty function to solve 0/1 knapsack problem. 摘要将带有死亡罚函数的二进制粒子群优化算法应用于0/1背包问题。