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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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外点罚函数方法，可以用来求解约束优化问题，也可以用来被调用在智能算法中-Point outside the penalty function can be used for solving constrained optimization problems, can also be used in intelligent algorithm called
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matlab 7.0 以上版本提供了强大的优化工具箱，但在整数规划方面，只提供了bintprog（）这个m文件以求解0－1整数规划，而对于一般的整数规划模型没有具体的算法提供。我们一般情况只是用最简单的分值定界思想编写matlab程序求解整数规划问题，但效率低下，如何利用求解整数规划的先进算法编写matlab程序提上日程，香港大学的李端和复旦大学编写的《Nonlinear Integer Programming》(非线性整数规划)为编写解决整数规划问题提供强大有效的算法，其中算法针对具体问题包括
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MATLAB 有约束信赖域算法，以四元多项式为算例
适用于学习最优化算法的数学专业学生以及其他数值分析课程的同学，
程序清晰，对MATLAB的学习也有很大的帮助，同时程序还有一些不足，读者自己须根据实际问题更正。-MATLAB constrained trust region algorithm to quaternion polynomial example for the application of optimization algorithms in the learning o
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精通MATLAB优化计算算法，约束优化问题。共7个程序。-Proficient in MATLAB optimization calculation algorithm, constrained optimization problem. A total of seven procedures.
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Two stage optimization algorithm is
proposed and investigated for fast computation of constrained power economic dispatch control problems.-Two stage optimization algorithm is
proposed and investigated for fast computation of constrained power e
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带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
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Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly.
These programs have b
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New Approaches to Constrained Optimization in MATLAB
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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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基于遗传算法的车间布局优化MATLAB源码
车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。
-Layout based on genetic algorithms optimization MATLAB Optimization is the source plant processing equipment, material handli
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约束优化问题在matlaB中的实现，压缩包里面包含讲义和源代码。-Constrained optimization problem in MATLAB to achieve compression package contains the lecture notes and source code.
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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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在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。-In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange mult
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罚函数法将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法Matlab源程序-Penalty function method will be constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function method in Matlab source
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罚函数法是将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法的Matlab源程序。-Penalty function method is a constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function in Matlab source.
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针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genet
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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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