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标准粒子群算法求解非线性方程，用MATLAB实现，并出仿真结果,The standard particle swarm algorithm for solving nonlinear equations, using MATLAB to achieve, and the simulation results
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粒子群的优化算法，不仅可以方便地解决无约束优化问题，也可以方便的解决有约束的非线性优化问题。-Particle Swarm Optimization algorithm, not only can easily solve the unconstrained optimization problem can also be convenient to solve constrained nonlinear optimization problem.
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粒子群算法 寻优算法非线性函数 极值 寻优-Particle Swarm Optimization Algorithm for the optimization of nonlinear function extremum
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Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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精通MATLAB最优化计算 配套光盘
本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。
-The main contents of the book is the
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粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- Extreme nonlinear function optimization
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OPTIMAL CAPACITOR PLACEMENT ON RADIAL DISTRIBUTION FEEDERS IN
PRESENCE OF NONLINEAR LOADS USING BINARY PARTICLE SWARM
OPTIMIZATION
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粒子群算法，惯性权值非线性减小的改进，已通过测试可用。-Particle swarm optimization, nonlinear inertia weight reduction improvement, has been tested is available.
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非线性约束优化问题的混合粒子群算法Nonlinear constrained optimization algorithm for hybrid particle swarm-Nonlinear constrained optimization algorithm for hybrid particle swarm
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神经网络案例：粒子群算法的寻优算法-非线性函数极值寻优-Neural network case: particle swarm optimization algorithm- extreme optimization of nonlinear function
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粒子群算法的寻优算法，matlab，神经网络，非线性函数极值寻优-Particle swarm optimization algorithm, matlab, neural networks, nonlinear optimization function extremum
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matlab最优化计算：线性规划，非线性规划，整数规划，二次规划，遗传优化，粒子群优化。-matlab optimization calculation: linear programming, nonlinear programming, integer programming, quadratic programming, genetic optimization, particle swarm optimization。
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用python语言实现粒子群算法，此处用来求解几道非线性式子-Particle swarm algorithm， python language， here used to solve several nonlinear equations
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粒子群算法的寻优算法，非线性函数极值寻优，MATLAB的经典算法-Particle swarm optimization algorithm, nonlinear function optimization extreme, MATLAB classical algorithm
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Abstract A particle swarm optimization method with nonlinear
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determ
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粒子群算法的寻优算法实现非线性函数极值寻优。-Particle swarm optimization algorithm to achieve extreme nonlinear optimization.
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基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))
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