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Description: use GA to deal with 模糊机会约束规划问题例题-use GA to deal with fuzzy opportunity constrained programming examples
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Size: 22312 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊机会约束规划问题例题-use GA to deal with fuzzy opportunity constrained programming examples
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Size: 22528 |
Author: 蜻蜓 |
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Description: 一个非常好的遗传算法参考程序,可以优化带约束条件的函数.-a very good reference procedures genetic algorithm can be constrained optimization functions.
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Size: 22528 |
Author: 大侠 |
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Description: 由于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。
-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function.
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Size: 2048 |
Author: 王刚 |
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Description: 遗传算法优化源码，可以做约束优化问题或者是无约束优化问题的求解-Source of genetic algorithm optimization, constrained optimization problems can make or unconstrained optimization problem solving
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Size: 16384 |
Author: wulingyan |
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Description: 由于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。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox.
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Size: 4096 |
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Description: 求解约束极小值问题的函数fmincon，fmincon是求解多维约束优化问题的优化工具箱函数-Problem solving constrained minimum function fmincon, fmincon is a multi-dimensional constrained optimization problems for solving the optimization toolbox function
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Size: 1024 |
Author: yu |
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Description: 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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Size: 11524096 |
Author: fd |
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Description: 这个算法采用遗传算法（实数编码），可以找到带有约束和无约束函数的最大值 。遗传算法的表现也通过后代的数量绘制出来。-This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems).
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Size: 6144 |
Author: 竹子的信仰 |
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Description: 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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Size: 1024 |
Author: 张飞 |
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Description: 遗传算法在求解多约束条件下的组合优化问题有独特优势，本代码是关于用遗传算法解决智能组卷问题的好例子。-Of genetic algorithm in solving the multi-constrained optimization problem under the condition of a unique combination of advantages, this code is on the use of genetic algorithm to solve the problem a good example of Intelligent Test Paper.
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Size: 19448832 |
Author: keka |
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Description: 求解约束优化问题的改进粒子群优化算法，希望对大家有所帮助。-Solving constrained optimization problems of improved particle swarm optimization, we want to help.
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Size: 294912 |
Author: 陈波 |
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Description: 用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem
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Size: 6144 |
Author: 胖子 |
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Description: 基于遗传算法和模拟退火算法融合的带QoS约束的组播路由算法 Matlab代码- QoS constrained multicast routing algorithm based on GA
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Size: 2048 |
Author: 看 |
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Description: 采用遗传算法解决 mode identity and the resource constrained
projectscheduling problem-A genetic algorithm for mode identity and the resource constrained
projectscheduling problem
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Size: 593920 |
Author: 王静 |
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Description: 遗传算法：运用GA工具箱求解多约束非线性规划问题-Genetic algorithm (GA) : using GA toolbox to solve constrained nonlinear programming problem
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Size: 1024 |
Author: 孙涛 |
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Description: resource-constrained project scheduling problem (RCPSP)in matlab
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Size: 4096 |
Author: yeki |
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Description: 基于遗传算法求解单目标有约束的MATLAB程序-Based on genetic algorithm constrained single objective procedure
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Size: 6144 |
Author: 张伟 |
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Description: The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions. At each step, the genetic algorithm selects individuals at random the current population to be parents and uses them to produce the children for the next generation. Over successive generations, the population evolves toward an optimal solution. You can apply the genetic algorithm to solve a variety of optimization problems that are not well suited for standard optimization algorithms, including problems in which the objective function is discontinuous, nondifferentiable, stochastic, or highly nonlinear. The genetic algorithm can address problems of mixed integer programming, where some components are restricted to be integer-valued.-The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions. At each step, the genetic algorithm selects individuals at random the current population to be parents and uses them to produce the children for the next generation. Over successive generations, the population evolves toward an optimal solution. You can apply the genetic algorithm to solve a variety of optimization problems that are not well suited for standard optimization algorithms, including problems in which the objective function is discontinuous, nondifferentiable, stochastic, or highly nonlinear. The genetic algorithm can address problems of mixed integer programming, where some components are restricted to be integer-valued.
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Size: 2048 |
Author: ghassem |
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Description: 粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。-A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accuracy.
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Size: 7168 |
Author: 华宇 |
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