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遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借
用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性
的提高。-Genetic Algorithm (Genetic Algorithm, GA) in recent years developed a brand new global optimization algorithm, which, by
With the biological point
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退火算法，运用退火算法解决函数优化等问题，运用遗传算法解决学生宿舍分配问题。-Annealing algorithms, the annealing algorithm to solve the function optimization using genetic algorithm to solve the problem of allocation of student hostels.
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遗传算法，实现网络的优化；在每一代中去除不符合条件的部分，重新组合。-Genetic algorithm, to realize the optimization of the network In each generation to remove does not comply with the conditions of the part, reset.
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An Initialization Procedure in Solving Optimal
Power Flow by Genetic Algorithm.With this procedure, one can start the optimization process (i.e., genetic algorithm) with a set of control variables, causing few or no violations of constraints.
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基于遗传算法的最短路径路由优化算法用MATLAB实现-The shortest path routing optimization algorithm based on genetic algorithms using MATLAB
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一个函数优化遗传算法的C语言程序,可解决一般的函数优化问题-A function to optimize the C programming language of genetic algorithm, to solve the general function optimization problem
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遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。-Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolu
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这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
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一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
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用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
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本文针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，追求发电成本最小。同时采用矩阵实数编码遗传算法（MRCGA）和穷举搜索算法，利用MATLAB 7.0.1和C++编程，分别对模型进行求解，并对所得结果进行分析比较，以此来帮助电力部门制定机组启停计划-This article in view of the current level of science and technology would
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基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
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运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
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这是遗传算法多目标优化程序。虽然是基础的GA算法程序，但是注释清晰，可以修改目标函数运行，也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify the operation of the objective
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