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最优化函数集,包括线性规划,非线性规划,带约束优化问题等-Optimization function sets, including linear programming, nonlinear programming, constrained optimization problems, etc
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转最优化-约束 无约束共轭梯度法程序（c++）-Switch Optimization- constrained conjugate gradient method for unconstrained program (c++)
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机械优化设计 用C++编程 约束优化算法 一共有三个-Optimization of Mechanical Design with C++ programming constrained optimization algorithm for a total of three
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In this thesis, we develop constrained simulated annealing (CSA), a global optimization algorithm that asymptotically converges to constrained global minima with probability one, for solving discrete constrained nonlinear programming problems-In this
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于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matl
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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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solve constrained nonlinear optimization problem (Semi Infinite Programming)
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约束优化算法，优化处理，matlab代码，学习必看-Constrained optimization algorithm, optimized, matlab code, learning must-see
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DFP拟牛顿法求解非线性无约束最优化问题（函数极值）-DFP quasi-Newton method for solving nonlinear constrained optimization problem (function extremum)
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本程序实现了一个简单的非线性约束最优化问题，仅供参考-This program implements a simple nonlinear constrained optimization problems, for reference only
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带约束因子的粒子群算法在电力系统无功优化中的应用-Constrained factor PSO in Reactive Power Optimization
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提升复杂系统的定量决策支持，将成本作为独立变量（CAIV）寻求“最佳”点设计，是一个约束的非线性优化问题，其目标函数是最优有效性度量（MOE）表示，由基于性能的成本模型、二阶约束MOEs、系统性能指标的界限（MOPs）构成。算法采用的是同时扰动随机逼近方法（SPSA）。附件中是二阶约束MOEs模型的仿真程序。附：仿真流程图-Ascend the quantitative decision support of complex systems, will cost as an independen
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多次检测单目标机会约束规划，运用遗传算法求解，可以快速求解问题的可行解，给同行最优化计算的人借鉴、参考，有不足或者有讨论的和我联系。-Repeated testing single objective chance constrained programming, the use of genetic algorithm, a feasible solution to solve the problem quickly, give peers who learn optimization cal
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一种改进的粒子群优化算法求解约束优化复杂问题-An improved particle swarm optimization algorithm for solving constrained optimization of complex problems!!
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Teaching Learning Based Optimization (TLBO) method is an evolutionary algorithm that simulate the teaching–learning behavior of the students of a classroom. This MATLAB code implements the basic TLBO algorithm for truss optimization problem. However
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一个可以保证Hessian矩阵下降的约束优化方法，并附有实例验证，可迁移性较强-One could ensure the Hessian matrix by the constraints of the optimization method, and with example, portability strong
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A hybrid multi-swarm particle swarm optimization to solve constrained optimization
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0.618法求解无约束优化问题的一维精确线搜索，matlab-0.618 method for solving constrained optimization problems of one-dimensional exact line search, matlab
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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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