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PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。,PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of.
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我改写的多变量带约束的遗传算法Matlab源程序！,Multi-variable Constrained Optimization by GA in Matlab!!!
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用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数，均能得到问题最优解。如有任何疑问，请于http://2shi.phphube
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细菌觅食随机优化论文及matlab源码。该算法属于进化算法的一种，可以处理全局优化、多目标优化、约束优化和动态优化等问题。,Bacterial feeding stochastic optimization papers and matlab source code. The algorithm belongs to a kind of evolutionary algorithm that can deal with global optimization, multi-objective o
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％程序名称：求解约束优化问题的改进粒子群优化算法
％程序功能：求解带各种约束条件的优化问题
％输入条件：各种初始条件，以及设定参数
％输出数值：最优解位置以及函数极小值
, Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features: solving with a variety of constr
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约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
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内点法是从可行域内某一初始内点出发，在可行域内进行迭代的序列极小化方法。它仅用于求解不等式约束优化问题。这里列出内点惩罚函数法的六个子程序。
-Interior point method is a feasible region within the initial point of view, the region, where feasible, to carry out the sequence of iterative minimization method. It is only
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We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear
mixtures when some a priori information of the sources are available in the form of rough templates (references). T
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这个是优化方法中的一种方法，叫做罚函数法，是一种用于带约束条件的优化。-This optimization method is a method, called the penalty function method, is a condition for constrained optimization.
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一本介绍约束优化方面的经典书籍。对于从事约束优化算法的研究很有帮助。-A book introducing constrained programming. It is beneficial for the algorithm research of constrained programming
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this modified PSO algorithm can solve for constrained optimization problem
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An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization
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GENOCOP (GEnetic algorithm for Numerical Optimization for COnstrained Problems). This system is optimizing any function with any number of linear constraints (equalities and inequalities).
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约束优化问题算法的 matlab 程序，包括：
minRosen.m---Rosen 梯度投影法
minFactor.m----乘子法
minconPS.m-----坐标轮换法
minPF.m----外点罚函数法
minMixFun.m-----混合罚函数法
minJSMixFun.m----加速混合罚函数法-Constrained optimization algorithm matlab procedures, including: minRosen.m-- Rose
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New Approaches to Constrained Optimization in MATLAB
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约束优化问题，包含
用Rosen梯度投影法求解约束多维函数的极值
用外点罚函数法求解线性等式约束多维函数的极值
用外点罚函数法求解一般等式约束多维函数的极值
用内点罚函数法求解约束多维函数的极值
用混合罚函数法求解约束多维函数的极值
用混合罚函数加速法求解约束多维函数的极值
用乘子法求解约束多维函数的极值
用坐标轮换法求解约束多维函数的极值
用复合形法求解约束多维函数的极值
-Constrained optimization problems contai
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有约束最优化问题：利用matlab中已有的函数。举了一个利用里面函数求最小值的例子。这是最优化与运筹学中会经常遇到的问题-Constrained optimization problem: using the matlab existing function. For a use inside function minimise example. This was the optimized and operations research will often encounter problem
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约束优化问题是最优化的主要类型，是最优化方向的主要分支-Constrained optimization problem is the main type of optimization, and it is the main branch of optimization direction.
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人个收集的带约束优化问题的遗传算法，都是十分有用和极具参考价值的资料。-A collection of people with constrained optimization problems genetic algorithms, are very useful and very valuable information.
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In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objectiv
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