量子优化,quantum optimization英语短句,例句大全

量子优化,quantum optimization
1)quantum optimization量子优化
1.In this dissertation, the proposed hybrid quantum optimization algorithms combine quantum computation with neural network, evolutionary algorithm and ant colony optimization algorithm to improve the performance of the algorithms, extend the application area of the algorithms and perfect the system of the algorithms.量子优化方法是借鉴量子理论的思想来解决某些特定问题的一种新方法。
2)Quantum-behaved Particle Swarm Optimization(QPSO)量子粒子群优化
1.Quantum-behaved Particle Swarm Optimization(QPSO) algorithm makes change for the evolutionary strategy of particles, and the particles has much broader search space, which helps to avoid falling into local optimal.量子粒子群优化(QPSO)算法改进了粒子进化策略,使粒子具有更大搜索空间,可更好地避免陷入局部最优。

英文短句/例句

1.Online Route Planning Based on Quantum Particle Swarm Optimization基于量子粒子群优化的在线航迹规划
2.Double quantum delta particle swarm optimization based on chaos optimization strategy一种混沌优化机制的双量子粒子群优化算法
3.Quantum-behaved particle swarm optimization algorithm with random selection of optimal individual随机选择最优个体的量子粒子群优化算法
4.Adaptive Quantum-behaved Particle Swarm Optimization Algorithm with Mutation Operator and Application;自适应变异量子粒子群优化算法及其应用研究
5.Economic Operation of Hydropower System Based on Quantum Particle Swarm Optimization Algorithm基于量子粒子群优化算法的水电系统经济运行
6.Minimal Attribute Reduction Algorithm Based on Quantum Particle Swarm Optimization基于量子粒子群优化的最小属性约简算法
7.Hybrid QDPSO Based on Chaos Mechanism基于混沌机制的混合量子粒子群优化算法
8.New algorithm for active queue management based on quantum delta-potential-well-based particle swarm optimization基于量子粒子群优化的主动队列管理新算法
9.Multicast Routing Optimization Based on Quantum Particle Swarm Algorithm基于量子粒子群算法的组播路由优化
10.Adaptive Swarm Optimization Algorithm Based on Energy of Particle基于粒子能量的自适应粒子群优化算法
11.Parallel study of quantum-behaved particle swarm algorithm具有量子行为粒子群优化算法的并行化研究
12.Application of Improved Particle Swarm Optimization in Power Purchase Model Optimization Problem;改进粒子群优化算法用于电网优化购入电量
13.Quantum-inspired Particle Swarm Optimization Multi-objective Optimization Algorithm;基于量子衍生方法的粒子群多目标优化算法
14.Improved Particle Swarm Optimization algorithm having quantum behavier具有量子行为的粒子群优化算法的改进
15.Optimization Design of the Inertia Safety Mechanism Based on QPSO Algorithm基于量子粒子群算法的惯性保险机构优化设计
16.Acquisition of classification rule based onquantum-behaved particle swarm optimization基于量子行为的粒子群优化算法分类规则获取
17.MULTIMETHOD COLLABORATIVE OPTIMIZATION ALGORITHM BASED ON QPSO基于量子粒子群算法的多方法协作优化方法
18.Application of quantum-behaved particle swarm optimization in the optimizing design of steel frame量子粒子群算法在钢框架优化设计中的运用

相关短句/例句

Quantum-behaved Particle Swarm Optimization(QPSO)量子粒子群优化
1.Quantum-behaved Particle Swarm Optimization(QPSO) algorithm makes change for the evolutionary strategy of particles, and the particles has much broader search space, which helps to avoid falling into local optimal.量子粒子群优化(QPSO)算法改进了粒子进化策略,使粒子具有更大搜索空间,可更好地避免陷入局部最优。
3)QPSO量子粒子群优化
1.Adaptive Quantum-Behaved Particle Swarm Optimization (AQPSO) algorithm is proposed in this paper in order to improve network’s performance.提出了自适应量子粒子群优化(Adaptive Quantum-Behaved Particle Swarm Optimization,AQPSO)算法,用于训练Elman网络参数,改进了Elman网络的泛化能力。
2.Adaptive quantum-behaved particle swarm optimization(AQPSO) algorithm is proposed in order to improve the performance of RBF(radial basis function) network.提出了自适应量子粒子群优化(adaptive quantum-behaved particle swarm optimization,AQPSO)算法,用于训练RBF(radial basis function)网络的基函数中心和宽度,并结合最小二乘法计算网络权值,改进了RBF网络的泛化能力。
3.Using quantum-behaved particle swarm optimization (QPSO) to handle complex problems with lots of extremums has the pr针对量子粒子群优化算法(Quantum-Behaved Particle Swarm Optimization,QPSO)在处理复杂多极值问题时易陷入局部最优,收敛速度慢和精度低的缺陷,提出一种极值扰动和混沌搜索相结合的量子粒子群优化算法(Quantum-Behaved Particle Swarm Optimizationwith Extremum Disturbance and Chaotic Searching,DCQPSO)。
4)Quantum particle swarm optimization量子粒子群优化
1.Quantum particle swarm optimization was introduced to solve this optimization problem.现代战场中,环境信息是变化的,飞行器很难预先获得精确的全局环境信息,因此要求无人飞行器具有实时的航迹规划能力,采用量子粒子群优化算法,将约束条件和搜索算法相结合,有效解决了简单粒子群算法在高维空间中易陷入局部最优点的问题;同时,根据地形障碍、敌方防御雷达、防空火力等威胁以及禁飞区的分布情况,引入最小威胁面的概念,利用B-Spline插值逼近最小威胁面中的三维航迹在二维水平面内的投影,从而将三维曲线的规划问题简化为二维平面中控制点的寻优问题,简化了问题复杂度,提高了计算效率。
5)quantum circuit optimization量子电路优化
6)Quantum Optimization Algorithm量子优化算法