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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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有数值计算中常用的Visual Fortran子过程近200个，内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组，每一个子程序都包括功能、方法、使用说明、子程序和例子五部分。本书的所有子过程都在Visual Fortran 5.0版本上进行过验证，程序都能正确运行。同时配书发行光盘，包括所有子过程、验证过程及所有验
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介绍了一种基于最，j,-最大原理整定鲁棒PID控制器参数的方法，并应用MA ⅡAB
优化工具箱函数按非线性二次规划法搜索合理的PID参数。仿真结果表明，优化函数寻找
最佳PID参数简便可靠；当模型在一定范围内变化时，按该方法整定的鲁棒PID控制器均
能保证控制系统的动态性能良好。-Introduced based on the most, j,- setting the maximum principle method of robust PID controller paramet
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LINDO and LINGO software
LINGO and LINDO are computer software packages developed by LINDO systems.
designed for formulating and solving a wide variety of optimization problems include :
Linear programming
Integer programming
Nonlinear p
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求解0-1二次规划的粒子群算法
先将离散的0-1变量约束转化成了不光滑方程的约束，再用磨光函数方法对其光滑化。最终，把原来的数学模型转化为可微的非线性规划问题。最后，粒子群优化算法求解-0-1 first discrete particle swarm algorithm for solving 0-1 quadratic programming variable constraint transformed into smooth equations and constraints, it
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matlab中的非线性规划求解fmincon函数，能够实现参数传递条件的函数优化-The fmincon function,as the nonlinear optimization solver in matlab, can also realize optimization under the condition of parameter passing
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Cuckoo Optimization Algorithm, for solving nonlinear, complex & large scale engineering problems
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基因算法的实现，采用随机方法计算非线性系统的优化-Genetic algorithm, using a random method of nonlinear systems optimization
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Design of a Nonlinear PID Neural Trajectory Tracking
Controller for Mobile Robot based on
Optimization Algorithm
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Matlab的fgoalattain解决悬置多目标解耦的非线性优化问题+实例-Nonlinear optimization problem of fgoalattain s Matlab to solve the problem of multi objective decoupling of suspension
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Aimed at nonlinear MIMO system, a model
predictive control (MPC) strategy based on least squares
support vector machine (LSSVM) and mutative scale chaos
optimization is proposed
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matlab中优化设计非线性约束fmincon的使用方法-The use of matlab in nonlinear constraint optimization design fmincon method
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非线性系统预测控制已成为一个有着广阔前景的研究热点。预测控制的多步预测和滚动优化有克服建模误差影响的能力，使控制系统具有一定的鲁棒性。但研究表明,预测控制对模型失配的鲁棒性是有限的，仍需要一个较准确的预测模型-Nonlinear predictive control has become a research focus has broad prospects. Predictive control multi-step prediction and rolling optimization h
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We hope that this book will be useful as the primary or alternate textbook for
several types of courses. Since 1995 we have been using drafts of this book for
graduate courses on linear, nonlinear, and convex optimization (with engineering
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This paper suggests that a simple modification to the initial search direction can also substantially improve the training efficiency of almost all major optimization methods. It was discovered that if the initial search direction is locally modified
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遗传算法、粒子群算法优化BP神经网络-非线性函数拟合-Genetic algorithm and particle swarm optimization for BP neural network nonlinear function fitting
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神经网络遗传算法函数极值寻优-非线性函数极值寻优-Neural network genetic algorithm function extremum optimization nonlinear function extremum optimization
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遗传算法无功优化，完整的图像处理课设，包含所有源代码，汽车图像，利用最小二乘法进行拟合多元非线性方程。- Genetic algorithm based reactive power optimization, Complete class-based image processing, contains all of the source code, auto image, Multivariate least squares fitting method of nonlinear equat
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利用最小二乘法进行拟合多元非线性方程，本程序的性能已经达到较高水平，LCMV优化设计阵列处理信号。- Multivariate least squares fitting method of nonlinear equations, The performance of the program has reached a high level, LCMV optimization design array signal processing.
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