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2下载:
基与遗传算法的动态规划,可以解决对于有时间窗约束的多目标车辆寻路问题(HUBThe dynamic programming of base and genetic algorithm can solve the problem of multi-objective vehicle routing problem with time window constraints)
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MultiObjGA Code(多目标数值优化遗传算法),教如何用matlab进行多目标遗传算法编程(MultiObjGA Code (multiobjective numerical optimization genetic algorithm), teaching how to use matlab for multiobjective genetic algorithm programming)
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遗传算法解决TSP,采用matlab语言编程,利用遗传算法解决TSP问题。(The genetic algorithm solves the TSP, uses the MATLAB language programming, and uses the genetic algorithm to solve the TSP problem.)
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floyd算法又称为插点法,是一种利用动态规划的思想寻找给定的加权图中多源点之间最短路径的算法,模拟退火算法是局部最优解能概率性地跳出并最终趋于全局最优,遗传算法是一种通过模拟自然进化过程搜索最优解的方法。(The Floyd algorithm is also known as the insertion point method, which is a multi weighted graph using the idea of dynamic programming for the giv
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用遗传算法实现二次规划问题,很好的算法,值得下载(Using genetic algorithm to realize quadratic programming problem, good algorithm is worth downloading.)
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由遗传算法开发的整数规划,车辆调度问题(Integer programming developed by genetic algorithm and vehicle scheduling problem)
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为加深对遗传算法的理解与应用,结合经典的旅行商问题,用vs 2013进行了编程实验,验证算法的性能和加深对遗传算法的学习。(In order to deepen the understanding and application of genetic algorithm, combined with the classic travel problem, we use vs 2013 to do the programming experiment, which verifies the alg
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遗传算法 用遗传算法求解双层规划模型得到最优解(genetic algorithm
Solving Bilevel Programming Model with genetic algorithm to get the optimal solution)
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基于MATLAB的遗传算法编程工具箱,适用于遗传算法的初级使用者(A genetic algorithm programming toolbox based on MATLAB, suitable for primary users of genetic algorithms)
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基于遗传算法和非线性规划的函数寻优算法;(Function Optimization algorithm based on genetic algorithm and nonlinear programming)
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用多目标粒子群算法求解0-1规划问题,注释详细,适合新手学习(Solving 0-1 programming problems by genetic algorithm)
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运用matlab改进遗传算法求解非线性规划问题的最优解(Using MATLAB to improve genetic algorithm to solve the optimal solution of nonlinear programming problems..)
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实现简单遗传算法matlab编程,实现多值函数优化,找到最优解实现函数收敛(The realization of a simple genetic algorithm matlab programming, realize the optimization of multi function value, find the optimal solution to achieve the function of convergence)
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非线性规划算法局部搜索能力较强,全局搜索能力较弱,遗传算法局部搜索能力较弱,全局搜索能力较强,结合两者优点得到最优解(Nonlinear programming algorithm has strong local search ability, weak global search ability, weak local search ability of genetic algorithm, and strong global search ability. The best solutio
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二维装箱文献
二维一刀切装箱问题的两阶段启发式算法_曹大勇
二维装箱问题的非线性优化方法_于洪霞
二维装箱问题的启发式算法研究_刘艳娟
二维装箱问题的启发式算法研究_姚怡
二维装箱问题的一种实现方法_武晓今
二维装箱问题非线性规划模型和算法_于洪霞
基于混合蚂蚁算法的二维装箱问题求解_赵中凯
遗传算法在装箱问题中的应用_汤岩(Two dimensional boxing literature
Two stage heuristic algorithm for two dimen
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遗传算法提供了求解非线性规划的通用框架,它不依赖于问题的具体领域。遗传算法的优点是将问题参数编码成染色体后进行优化, 而不针对参数本身, 从而不受函数约束条件的限制; 搜索过程从问题解的一个集合开始, 而不是单个个体, 具有隐含并行搜索特性, 可大大减少陷入局部最小的可能性。而且优化计算时算法不依赖于梯度信息,且不要求目标函数连续及可导,使其适于求解传统搜索方法难以解决的大规模、非线性组合优化问题。(Genetic algorithm provides a general framework f
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1 基于遗传算法的TSP算法(王辉)
2 基于遗传算法和非线性规划的函数寻优算法(史峰)
3 基于遗传算法的BP神经网络优化算法(王辉)
4 设菲尔德大学的MATLAB遗传算法工具箱(王辉)
5 基于遗传算法的LQR控制优化算法(胡斐)(1 TSP algorithm based on genetic algorithm (Wang Hui)
2 Function optimization algorithm based on genetic algorithm and non
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MATLAB遗传算法求解整数规划的最大值问题(A maximum of MATLAB genetic algorithm to solve the integer programming problem)
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运用matlab进行遗传算法编程,旨在求解汽车发动机悬置系统的个自由度解耦率(The purpose of genetic algorithm programming with MATLAB is to solve the decoupling rate of individual degrees of freedom of automobile engine mounting system)
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