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zishiyinghundunliziqunsuanfaxiugai2
- 自适应混沌粒子群算法,可以实现自己输入,自动输出-Adaptive chaotic particle swarm algorithm can achieve their own input, automatic output
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
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- 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
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- 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
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
acpsomatlabchengxu
- 自适应混沌粒子群算法的matlab程序,有测试函数-Adaptive chaotic particle swarm algorithm matlab procedures, test function
PSO-ACPSOduibi
- 粒子群和自适应混沌粒子群算法的程序,作了简单对比-Chaos particle swarm optimization and adaptive particle swarm optimization program, made a simple comparison
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
GAPSO
- 遗传粒子群、混沌粒子群、基本粒子群三者对比,对一个判断方程,输出其收敛曲线,毕业设计的核心精华!-Genetic particle swarm, chaotic particle swarm, and basic particle swarm, equations for a judgment, the output curve of its convergence, the core essence of graduation des
pso_func
- 混沌粒子群的优化算法,最早是在模拟鸟群觅食过程中的迁徙和群集行为时提出的一种基于群体智能的进化计算技术。(已改进)-Chaos particle swarm optimization algorithms, the first is a cluster of movement and foraging behavior of birds in the simulation process when the proposed evolut
06675643
- 提高电源的动态响应 非线性和复杂的系统是一个转换器 电力电子的有趣的挑战。摘要介绍了 设计和实现数字PID控制器使用 混沌粒子群优化(复)提振 转换器,提出了自动调优转换器的方法 最优启动响应。当系统启动时,处理器 单元分析了开环启动响应转炉和 在一些迭代使用复准备最佳反应 算法。使用逻辑映射混沌映射序列 增加它的收敛速度和精度。模拟 和实现结果显示提出的效率 方法-Improving dynamic resp
New-chaos-particle--algorithm
- 针对传统粒子群算法初期收敛较快,而在后期容易陷入早熟、局部最优的特点,提出了一种新的混沌粒子群优化算法-For early traditional PSO algorithm converges faster and easier in the late fall early, optimal local characteristics, we propose a new chaotic particle swarm optimizat
Chaos
- 混沌粒子群优化算法的c++实现,已经通过测试,完全可以使用,学习或者开发都可以用用,不错的-Chaos particle swarm optimization
sapsoandclspso
- 混沌粒子群及自适应粒子群算法,需自行编译适应度函数-Chaos particle swarm and adaptive particle swarm optimization, the need to compile the fitness function
Chaos-particle-swarm
- 混沌粒子群优化算法的matlab程序,可以学习-Chaos particle swarm optimization algorithm matlab program
hundunPSO
- 混沌粒子群处理的经典程序,主要用于学习基本的混沌粒子群算法- end pixbin((2*kk-1):2*kk) = dec2bin( displace(nn2),2)
chengxutu
- 混沌粒子群优化算法,有测试函数,可以直接运行,对研究不同混沌映射的粒子群算法有帮助-Chaos particle swarm optimization algorithm, the test function can be directly run, the study of the particle swarm algorithm with different chaotic map help
CPSO
- 混沌粒子群算法,求代价函数问题,可以避免粒子群算法陷入局部最优,求取全局最优。代码含代价函数,可作为例子理解。-Chaos particle swarm optimization, seeking cost function problems, avoid getting into local optimum particle swarm algorithm, obtaining the global optimum. Code con
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