搜索资源列表
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基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
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标准粒子群算法，改进粒子群算法，希望大家能用上-Standard particle swarm optimization, improved particle swarm algorithm, hope everyone can be on the
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标准粒子群算法，改进粒子群算法，希望大家能用上-Standard particle swarm optimization, improved particle swarm algorithm, hope everyone can be on the
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An Improved PSO Algorithm to Optimize BP Neural Network
Abstract
This paper presents a new BP neural network
algorithm which is based on an improved particle swarm
optimization (PSO) algorithm. The improved PSO (which
is called IPSO) algori
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在传统的子载波分配过程中，具有优先权的用户将优先选择最好的载波，这将导致载波利用效率下降。
许多改进算法通过牺牲一定的公平性来提升容量并降低复杂度，但是这可能会使用户间无法达到所要求的公平
性。针对这些问题，提出了一种基于公平度门限的载波和功率自适应分配算法。在载波分配过程中，通过公平度
门限来决定载波分配优先级，从而实现容量和公平度的粗略折中。载波分配后利用粒子群（PSO）算法进行功率分配来达到所要求的公平度门限。实验结果表明，该算法在满足所要求公平度门限的同时提升了系统容量。 -
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改进的差分进化算法优化粒子群优化算法的混合智能优化算法的源程序-Improved differential evolution algorithm to optimize the hybrid particle swarm optimization intelligent optimization algorithm source code! ! ! !
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改进的粒子群优化算法，加入了混沌序列，增强了寻优能力。-Improved particle swarm optimization, joined the chaotic sequence, enhanced optimization capabilities.
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含不同分布式电源的改进粒子群算法优化问题-Containing different distributed power improved particle swarm optimization algorithm
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一种改进的粒子群优化算法求解约束优化复杂问题-An improved particle swarm optimization algorithm for solving constrained optimization of complex problems!!
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reactive power problem
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改进的粒子群算法可以用于计算无功优化问题的MATLAB编程-Improved particle swarm optimization (pso) algorithm can be used to calculate reactive power optimization problem of MATLAB programming
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求解置换流水车间调度问题，采用改进的粒子群算法，结合经典的调度案例，有甘特图。-For permutation flow shop scheduling problem, an improved particle swarm optimization, combining classical scheduling cases, there is a Gantt chart.
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改进的粒子群算法 自适应粒子群算法,在普通的粒子群算法里面加入了熵和-Improved particle swarm optimization (pso) algorithm, adaptive particle swarm optimization (pso) algorithm, in the ordinary course of joined the entropy and particle swarm optimization (pso) algorithm
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改进的粒子群算法--自适应粒子群算法,在普通的粒子群算法里面加入了熵和(Improved particle swarm optimization (pso) algorithm, adaptive particle swarm optimization (pso) algorithm, in the ordinary course of joined the entropy and particle swarm optimization (pso) algorithm)
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改进的粒子群算法，用于仿真平台对比于其他算法，典型的粒子群算法(improved particle swarm optimization)
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航迹规划是无人机执行侦察和作战任务中的关键技术，规划算法的性能直接影响着航迹规划的质量。针对航迹规划最优性和实时性问题，提出一种惯性权值" 阶梯式" 调整策略与跳出局部最优解策略相结合的改进粒子群无人机航迹规划算法。(Route planning is the key technology for UAV to perform reconnaissance and combat tasks, and the performance of planning algorithm
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改进的粒子群算法，适用与多目标最优化项目，收敛速度快(The improved particle swarm optimization algorithm is applicable to multi objective optimization projects, and the convergence speed is fast)
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一种改进的粒子群算法（PSO），寻优效果比较好。可以改了自己用。(An improved particle swarm optimization (PSO) algorithm has better optimization effect. You can change your use.)
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自编改进粒子群算法MATLAB程序，可供初学者使用(Matlab program of improved particle swarm optimization algorithm is compiled by ourselves, which can be used by beginners)
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利用Python程序计算导航定位的几何精度因子，基于改进粒子群实现选星(Using Python program to calculate the geometric precision factor of navigation and positioning.Star selection based on Improved Particle Swarm Optimization.)
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