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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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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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带交叉因子的粒子群MATLAB算法程序,可实现带约束变量的微粒群算法-With cross-factor PSO algorithm MATLAB procedures, can be constrained variable particle swarm 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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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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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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通过使用matlab优化工具箱中的函数fmincon解决有约束的非线性优化问题,有详细的代码过程。-By using the matlab optimization toolbox function fmincon to solve constrained nonlinear optimization problem, has detailed the process code.
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HQP is a solver for nonlinearly constrained large-scale optimization. It is intended for problems with sufficient regular sparsity structure. Such optimization problems arise e.g. from the numerical treatment of optimal control problems. External int
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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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constrained convex optimization. Using blas data structure.
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his code is an applicatino of EMOO by using Genetic algorithms to solve
the following simple constrained problem:
Draw the biggest possible circle in a 2D space filled with stars without
enclosing any of them.-his code is an applicatino of E
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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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particle swarm optimization constrained
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