搜索资源列表
LS-SVM_Based_on_PSO
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法,是英文
Embedded-in-a-chaotic-particle-swarm-optimization-
- 一种混沌粒子群嵌入优化算法及其仿真Embedded in a chaotic particle swarm optimization algorithm and simulation-Embedded in a chaotic particle swarm optimization algorithm and simulation
Chaos
- 混沌粒子群优化算法,此文件为C++编写,非常实用,可供有相关需要的人下载,学习。-Chaos particle swarm optimization algorithm
hundunpso
- 针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维
Constrained-Engineering-Optimization
- 将离散约束优化问题转化为非负整数约束规划问题,开发求解该问题的离散差分进化算法。该算法采用基于混沌映射 的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件,给出惩罚基数的计算方法和连续映 射基函数的表达式,在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平 均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融
3x
- 基于粒子群的算法和混沌搜索的协同优化算法-Collaborative optimization algorithm based on particle swarm algorithm and chaotic search
100
- 前推回代法的辐射状配电网潮流程序 matlab编写蚁群算法实践 粒子群工具箱PSOt 基于遗传算法配电网无功优化方法程序源代码 求解机组组合问题的多种群混沌蚁群算法-Before the backward substitution method for radial distribution power flow program Matlab to write practical particle swarm ant colony al
CCLSPSOOh
- 混沌的粒子群算法,求解无约束束优化问题,可以保持个体多样性 -Chaos particle swarm algorithm for unconstrained the beam optimization issues, you can maintain the diversity of individuals
Pso
- 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.
linxin
- 针对量子粒子群优化算法在处理高维复杂函数时存在的收敛速度慢、易陷入局部极小等问题,提出了混沌量子粒子群优化算法。-Abstract:Using quantum-behaved particle swarmoptimization (QPSO) to handle complex functions with high-dimension has the problems of low convergence speed and se
Chaotic-Particle-Swarm-Optimization
- 混沌粒子群优化(CPSO, Chaos Particle Swarm Optimization)算法融合了PSO算法的快收敛和CO算法的遍历随机等特点,在PSO算法每一代挑选出的最优解附近的区域里,用混沌算法进一步搜索,防止其陷入局部最优值,从而改进了PSO算法的不足,成为一种高效的优化算法。-Chaotic Particle Swarm Optimization (CPSO, Chaos Particle Swarm Optimiza
cpso
- 提出多目标混沌粒子群优化算法并应用于机器人足球防守策略之中。在对方多名队员进攻情况下,通过该策略引导我方队员防守跑位,并选取我方位置最佳队员对对方主攻队员进行截球,从而达到成功防守的目的。-A robot soccer defensive strategy based on multi-objective chaotic particle swarm algorithm is proposed. When
2
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
3
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法,采用灰度理论,混沌理论,动态惩罚函数,可针对任何复杂函数进行优化,效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, th
Chaos-particle-algorithm
- 针对粒子群优化算法稳定性较差和易陷入局部极值的缺点,论文提出了一种新颖的混沌粒子群优化算法。-Particle swarm optimization for the poor stability and ease of getting into local extremum shortcomings, the paper proposes a novel chaotic particle swarm optimization algor
CLSPSO
- CLSPSO:用混沌粒子群优化算法求解无约束优化问题-CLSPSO: Chaos particle swarm optimization algorithm for solving unconstrained optimization problems
CPSO
- 混沌粒子群优化算法-CPSO与基本粒子群对比,对同一个判断方程,输出二都的收敛曲线图,比较优劣!-Chaos particle swarm particle swarm optimization algorithm-CPSO contrast, a judge on the same equation, the convergence of both output two graphs compare the pros and cons
CLSPSO
- 混沌粒子群算法是混沌优化和粒子群优化两者的结合。对于给定的优化函数,通过将搜索过程对应为混沌轨道的遍历过程,可使搜索过程具有避免陷入局部极小的能力。-Chaos particle swarm optimization (pso) algorithm is a combination of both the chaos optimization and particle swarm optimization.For a given opt
自适应权重的粒子群算法
- 基于混沌自适应粒子群优化支持向量机~~~~(Support Vector Machine Based on Chaotic Adaptive Particle Swarm Optimization~~)