搜索资源列表
MMAdapGA
- 遗传算法：用多变异位自适应遗传优化求解一维无约束优化问题-Genetic algorithm: changing ectopic adaptive genetic optimization to solve the one-dimensional unconstrained optimization problem
Constrained-Engineering-Optimization
- 将离散约束优化问题转化为非负整数约束规划问题，开发求解该问题的离散差分进化算法。该算法采用基于混沌映射 的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件，给出惩罚基数的计算方法和连续映 射基函数的表达式，在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平 均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融合， 构造面向工程约束优化的混合离散差分进化算法
JSP--E-T--GA
- 针对带有交货期窗口硬约束，并对提前/拖期零件进行惩罚的一类作业车间调度问题，设计了一种改进型遗传算法EGA。交货期窗口硬约束是指每个零件均有交货期和deadline，零件可以在交货期后完工，但绝不能超出deadline。EGA采用“逆向后推”和“顺向前拉”相结合的两阶段求解策略。针对部分染色体在解码过程中违反交货期窗口硬约束而产生非法解的问题，采用基于关键路径的染色体修复方法来调整染色体基因序列，以期实现在满足交货期窗口硬约束的同时降低零件拖期成本；在保持第一调度阶段拖期成本不变的基础上，采用基
study--on-genetic-glgorithm
- 遗传算法对约束优化问题的研究综述证明了遗传算法的有效性-Research of genetic algorithm constrained optimization problems to prove the effectiveness of the genetic algorithm
example
- 遗传算法实例：生成初始种群：遗传优化算法搜索；将不等式约束作为惩罚项加入适应度函数-Genetic algorithm example
Stochastic-Programming-2
- 该算法是用随机模拟，遗传算法和神经网络相结合的混合算法求解随机机会约束的模型。-The algorithm is simulated using a stochastic, combining genetic algorithm and neural network hybrid algorithm for solving stochastic chance constrained model.
AdapGA
- 自适应遗传算法求解一维无约束优化问题，matlab程序。-Adaptive genetic algorithm for one-dimensional unconstrained optimization problems, matlab program.
gene
- 遗传算法惩罚函数法，说明如何对约束条件进行处理，将其转变成无约束的优化问题-Genetic algorithm penalty function method shows how to deal with the constraints, transforming them into a constrained optimization problem
FDGPSOo
- 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。-Algorithm for solving constrained optimization problems, algorithms, differential evolution/genetic algorithm/particle swarm algorithm fusion.
Matlab_BP
- 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
GA
- 遗传算法GA求解无约束最优化问题，采用遗传算法求函数的最小值-The genetic algorithm GA for solving unconstrained optimization problems using genetic algorithm for the minimum of the function
GA
- 1.遗传算法求解无约束目标函数最大值问题案例分析 2.多约束非线性规划-Genetic Algorithm for Solving the unconstrained maximum objective function of problem cases
GA
- 遗传算法应用案例，无约束目标函数最大值遗传算法求解策略-Genetic algorithm is used in cases, unconstrained objective function maximum genetic algorithm strategy
LSYHXY
- 量子遗传算法的函数寻优算法，以求取约束条件下的极值-Quantum genetic algorithm function optimization algorithm
MPGA
- 多种群遗传算法的函数优化算法，求解约束条件下的极大值-Multi population genetic algorithm function optimization algorithm for solving the constrained conditions, the maximum value
AdapGA
- AdapGA 用自适应遗传算法求解一维无约束优化问题 -AdapGA with adaptive genetic algorithm for one-dimensional unconstrained optimization problems
myDearGA
- 自己写的遗传算法的MATLAB程序 有非线性约束条件的速度还很慢-my own genetic algorithm MATLAB code ,with nonlinear constraints it is still very slow
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 to adapt to the value of the genetic algorithm for solving one-dimensional unconstrained optimization problems
SBOGA
- SBOGA 用顺序选择遗传算法求解一维无约束优化问题 -SBOGA order to select genetic algorithm for solving one-dimensional unconstrained optimization problems
hxy_Ga
- 这是一个求解无约束多参数的优化问题的遗传算法代码，供大家参考-This is a genetic algorithm for solving unconstrained multi-parameter optimization problem code, for your reference.