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particle swarm optimization algorithm pso
相关语句
  相似匹配句对
     Particle Swarm Optimization
     粒子群优化算法
短句来源
     Research on Particle Swarm Algorithm
     微粒群算法及研究
短句来源
     Orthogonal Particle Swarm Optimization
     正交微粒群算法
短句来源
     Niching particle swarm optimizer
     一种小生境技术的微粒群优化器
短句来源
     Overview of particle swarm optimization
     微粒群算法综述
短句来源
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A new adaptive mutation particle swarm optimizer(AMPSO),which is based on the variance of the population's fitness is presented.During the running time,the mutation probability for the current best particle is determined by two factors:the variance of the population's fitness and the current optimal solution.The ability of particle swarm optimization algorithm(PSO) to break away from the local optimum is greatly improved by the mutation.The experimental results...

A new adaptive mutation particle swarm optimizer(AMPSO),which is based on the variance of the population's fitness is presented.During the running time,the mutation probability for the current best particle is determined by two factors:the variance of the population's fitness and the current optimal solution.The ability of particle swarm optimization algorithm(PSO) to break away from the local optimum is greatly improved by the mutation.The experimental results show that the new algorithm not only has great advantage of convergence property over genetic algorithm and PSO,but also can avoid the premature convergence problem effectively.

本文提出了一种新的基于群体适应度方差自适应变异的粒子群优化算法 (AMPSO) .该算法在运行过程中根据群体适应度方差以及当前最优解的大小来确定当前最佳粒子的变异概率 ,变异操作增强了粒子群优化算法跳出局部最优解的能力 .对几种典型函数的测试结果表明 :新算法的全局收搜索能力有了显著提高 ,并且能够有效避免早熟收敛问题

An improvement was made over the basic particle swarm optimization algorithm (PSO) in this paper to solve the optimization problem of a micro air-vehicle with a wing span of 550 mm. The results of optimization showed that the improvement was successful. Then the relationship between the volume of the battery and the performance of electrical powered aircraft was discussed. We also built and tested the mini-UAV. This plane achieved an endurance of 68 minutes and the results...

An improvement was made over the basic particle swarm optimization algorithm (PSO) in this paper to solve the optimization problem of a micro air-vehicle with a wing span of 550 mm. The results of optimization showed that the improvement was successful. Then the relationship between the volume of the battery and the performance of electrical powered aircraft was discussed. We also built and tested the mini-UAV. This plane achieved an endurance of 68 minutes and the results of test flights proved the effectiveness and high accuracy of the optimization.

针对一种翼展为550mm的电动力微型无人机的优化设计问题,对粒子群优化算法进行了改进,弥补了原来算法当最优解在设计变量上下限边界时无法找到最优解的缺陷,然后对电动力无人机的电池容量的优化选取进行了探讨,最后对该机进行了研制和试飞。由试飞结果可知,该机的留空时间为68min,与优化计算结果十分相近,证明了优化计算结果的可行性和高精度。

The Particle Swarm Optimization algorithm (PSO) is introduced and its application to reactive power optimization in power system has been investigated in the paper. To improve the search efficiency of PSO, a third extremum is insert to the iteration formula to indicate the search direction and a “fly back” strategy is proposed. Simulation results on IEEE-14-bus power system show that PSO can find better solution compared with GA and search ability of the modified...

The Particle Swarm Optimization algorithm (PSO) is introduced and its application to reactive power optimization in power system has been investigated in the paper. To improve the search efficiency of PSO, a third extremum is insert to the iteration formula to indicate the search direction and a “fly back” strategy is proposed. Simulation results on IEEE-14-bus power system show that PSO can find better solution compared with GA and search ability of the modified PSO is better than standard PSO.

介绍一种类似于遗传算法的进化算法———粒子群优化算法, 并把它应用到电力系统无功优化问题中。对基本的粒子群优化算法作了适当改进, 在粒子速度更新公式中增加了一项即上一代的全局“最优”值, 相当于增加了全局极值的权重, 提高了算法的收敛性。以粒子群优化算法为基础, 选取适合于该算法的无功优化目标函数。通过对 IEEE- 14节点的仿真计算, 证明了该算法优于基本的粒子群优化算法, 且与遗传算法相比能在更少的迭代次数内搜索到更好的全局最优解。

 
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