搜索资源列表
YH
- 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。-Workshop layout optimization model containing is a complicated nonlinear optimization model in a row, you can use the genetic algorithm optimization.
optimization-problem-in-this-paper
- 遗传算法对约束优化问题的研究综述,主要是综述约束问题。-Genetic algorithm for constrained optimization problem in this paper, research is mainly summarized constraint problems.
myGA
- myGA:用基本遗传算法求解一维无约束优化问题-myGA: basic genetic algorithm with the one-dimensional unconstrained optimization problems
NormFitGA
- NormFitGA: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-NormFitGA: dynamic linear calibration with genetic algorithms for solving one-dimensional fitness unconstrained optimization problems
ga
- 简单的遗传算法解决优化问题的汇编代码,包括单变量无约束优化、单变量有约束优化及多变量优化问题,并配以实例进行说明-Genetic Algorithms
PSOBP502
- Parsopoulos等采用罚函数法,利用非固定多段映射函数对约束优化问题进行转化,再利用PSO算法求解转化后问题,仿真结果显示PSO算法相对遗传算法更具有优越性,但其罚函数的设计过于复杂,不利于求解;Hu等采用可行解保留政策处理约束,即一方面更新存储中所有粒子时仅保留可行解,另一方面在初始化阶段所有粒子均从可行解空间取值,然而初始可行解空间对于许多问题是很难确定的;Ray等提出了具有多层信息共享策略的粒子群原理来处理约束,根据约束矩阵采用多层Pareto排序机制来产生优良粒子,进而用一些优良的
Distributed-energy-system-_-DING
- 在一个小型分布式发电系统的基础上, 建立分布式供能系统的调度策略和经济调度模型, 通过考虑各种电源的约束条件, 用改进的遗传算法进行求解, 使得分布式微网系统能够实现热电联供, 满足用户的需求. 算例系 统验证了模型与算法的可行性。-On the basis of a small distributed generation systems established on the scheduling policy and economic dispatch model of distribu
GA
- 隔离的遗传算法,主程序,目标函数,约束分得很清楚。-Isolated genetic algorithm, the main program, the objective function, constraints are clearly divided.
max-IM
- matlab 无约束求极大值问题,遗传算法求解-Find great value problem matlab unconstrained
Ga-tsp
- 遗传算法tsp问题 针对题目中物流配送路径优化问题,本文引入0-1规划思想,建立了带约束条件的物流配送问题的数学模型。求解时,引入遗传算法的编码方式,并针对分区数与客户数量相差较小的情况,灵活运用分区配送算法确定包含最优解的分区序列组,紧密结合枚举法使得其算法兼顾简单、快速的优点。应用Matlab软件可执行得到最短路径。兼顾时间因素导致的复杂影响,我们引入了惩罚函数,并通过设定惩罚系数,进一步由最短路径求得最优路径。-Genetic algorithm tsp problem of logist
Genetic-algorithm-(GA)
- 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
chance-constrained-programmingP92
- 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
probability-events
- 事件发生的概率的约束规划问题,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。-Feasible solution constraint programming problem probability events, the use of genetic algorithm that can solve the problem quickly, give peers who learn optimization calculation, r
GA_CPOH
- 单目标优化遗传算法,决策变量有0-1变量,带约束,很好用。-Single objective genetic algorithm, with constraints, decision variables rounding
1
- .用遗传算法优化来求解无约束优化问题用粒子群算法优化来求解无约束优化问题-Using genetic algorithm optimization to solve unconstrained optimization problems with particle swarm optimization for solving unconstrained optimization problems
MMAdapGA
- MATLAB高级优化算法--多变异位自适应遗传算法(MMAdapGA,求解一维无约束优化问题)-MATLAB advanced optimization algorithms- changeable ectopic adaptive genetic algorithm (MMAdapGA, solving one-dimensional unconstrained optimization problems)
NormFitGA
- MATLAB高级优化算法--动态线性标定适应值的遗传算法(NormFitGA,求解一维无约束优化问题)-MATLAB advanced optimization algorithms- genetic algorithms to adapt to dynamic linear calibration values (NormFitGA, solving one-dimensional unconstrained optimization problems)
gatbx
- gatbx:遗传算法工具箱 ,包括遗传算法的基本原理,编码、选择、交叉、变异,适应度函数,控制参数选择,约束条件处理等-Gatbx: genetic algorithm toolbox, including the basic principle of genetic algorithm, coding, selection, crossover and mutation, fitness function, the control parameter selection, the constr
Genetic-Algorithm
- 简单易懂的遗传算法,示例中是处理的无约束优化问题,可以为后续编程做参考-This is a simply genetic algorithm which can be used for further research.
ant-colony-optimization-algorithm
- 建立了带约束条件的物流配送问题的数学模型,运用蚁群算法解决物流配送路径 优化问题,并将遗传算法的复制、交叉、变异等遗传算子引入蚁群算法,同时改进信息素的 更新方式、客户点选择策略,以提高算法的收敛速度和全局搜索能力。经过多次实验和计算 ,证明了用改进的蚁群算法优化物流配送线路,可以有效而快速地求得问题的最优解或近似最 优解。-A mathematical model with the constraints of logistics and distribution issues,