1)P-PSO基于概率适应度函数的粒子群优化
1.A probabilityfitness-function based particle swarm optimization(P-PSO) algorithm is proposed and used for multi-robot based odor source search in ventilated indoor environment with obstacles.本文提出了基于概率适应度函数的粒子群优化(Probability-fitness-function based particle swarm optimization,P-PSO)算法并用于多机器人气味源搜索。
2)Probability particle swarm optimization概率粒子群优化算法
英文短句/例句
1.Dynamic Probabilistic Particle Swarm Optimization Based on Varying Multi-Cluster Structure一种基于可变多簇结构的动态概率粒子群优化算法
2.Research of Optimal Design Based on Probability Clonal Selection Particle Swarm Algorithm;基于概率克隆选择微粒群算法的优化设计研究
3.Experiment and Analysis on Dynamic Probabilistic Particle Swarm Optimization Model动态概率粒子群优化模型及实验分析
4.Novel multi-swarm cooperative particle swarm optimization新型多群体协同进化粒子群优化算法
5.Particle swarm optimization algorithm for shape optimization of truss structures桁架结构形状优化的粒子群优化算法
6.Particle swarm optimization for multi-objective programming problems求多目标优化问题的粒子群优化算法
7.Parameter optimization of power system stabilizer on particle swarm optimization algorithm基于粒子群优化算法的PSS参数优化
8.Particle swarm optimization based on immunity spallation operator基于免疫分裂算子的粒子群优化算法
9.Particle Swarm Motion Analysis and a Two Stage Particle Swarm Optimizer;粒子群的运动分析及两阶段粒子群优化算法
10.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
11.Applying Particle Swarm Optimization algorithm to select regularization parameter应用粒子群优化算法选择正则化参数
12.Particle swarm algorithm was an optimized algorithm based on swarm intelligence.粒子群算法是一类基于群智能的随机优化算法。
13.Exact identification of damping and frequency based on a particle swarm optimization algorithm利用粒子群优化算法实现阻尼比和频率的精确识别
14.Particle Swarm Optimization Algorithms with Immunity for Traveling Salesman Problems免疫粒子群优化算法求解旅行商问题
15.Modified particle swarm optimization algorithm for traveling salesman problem改进粒子群优化算法求解旅行商问题
16.Research on the Reactive Power Optimization Based on Modified Particle Swarm Optimization Algorithm;基于改进粒子群算法的无功优化研究
17.Distribution Network Reconfiguration Based on Particle Swarm Optimization;基于粒子群优化算法的配电网络重构
18.Particle Swarm Optimization Study for Solving Constrained Optimization Problems;求解约束优化问题的粒子群算法研究
相关短句/例句
Probability particle swarm optimization概率粒子群优化算法
3)Adaptive Particle Swarm Optimization(APSO)自适应粒子群优化算法
1.This method adopts Adaptive Particle Swarm Optimization(APSO) to solve unmatched model,the variable parameters to overcome the system uncertainty,and APSO to identify the model parameters and to optimize the PID control parameters of the controller.该方法采用自适应粒子群优化算法(APSO)辨识和优化预测模型及控制器的PID控制参数,克服油料流动加热控制模型的失配及系统的不确定性。
4)Quantum-behaved Particle Swarm Optimization (QPSO)基于量子行为的微粒群优化算法
1.To improve the adaptability and versatility of image enhancement, a Quantum-behaved Particle Swarm Optimization (QPSO) algorithm approach to image enhancement was proposed, in which image enhancement was formulated as an optimization problem.为了提高图像增强的自适应性和通用性,提出了基于量子行为的微粒群优化算法(QPSO)的图像增强方法,将图像增强作为最优化问题来明确地表示。
5)chaos-based particle swarm optimization method基于混沌的粒子群优化法
6)particle swarm optimization with simulated annealing strategy(SAPSO)基于模拟退火思想的粒子群优化算法
延伸阅读
自适【诗文】:紫陌奔驰不暂停,送迎终日在郊坰。年来鬓畔未垂白,雨后江头且蹋青。浮蚁满杯难暂舍,贯珠一曲莫辞听。春风只有九十日,可合花前半日醒。【注释】:【出处】:全唐诗:卷676-39