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6下载：
这是一个好的建模学习资料,赶快下载吧,
数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、
插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、
图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、
最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、
网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, downloa
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遗传算法的Matlab程序，用于数值优化-GA Matlab procedures for Numerical Optimization
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一种改进的遗传算法及用于数值优化的结果分析-An improved genetic algorithms and numerical optimization for the results of analysis
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一篇硕士学位论文，数值优化技术编码的 PSO混合算法及 其在前馈神经网络训练中的应用研究。-A master' s degree thesis, numerical optimization techniques encoded hybrid PSO algorithm and the former feed-forward neural network training in applied research.
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运用MATLAB编程实现遗传算法，数值仿真验证该方法的有效性，表明它能够对函数进行全局寻优。这种实现方法既可以熟悉MATLAB语言，又可以加深对遗传算法的认识和理解，以此来设计智能系统-Programming using MATLAB genetic algorithm, numerical simulation to verify the effectiveness of the method, that it is able to function for global optimizati
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GENOCOP (GEnetic algorithm for Numerical Optimization for COnstrained Problems). This system is optimizing any function with any number of linear constraints (equalities and inequalities).
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提出一种改进的粒子群优化算法———基于全局劣汰策略的混合粒子群优化算法(GTPSO) 。GTPSO在
保持PSO算法快速收敛的基础上,以郭涛算法(GuoA)的寻优机制确保种群的多样性和算法的坚韧性。数值计
算结果表明,对于高维(维数≥10)复杂非凸多峰函数的数值优化问题, GTPSO算法的计算结果均优于GuoA算
法和粒子群优化算法。-An improved particle swarm optimization algorithm--- poor overall survival
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通过DE agent求解各种约束函数优化问题-This source code is discrible the DE agent that is for solving constrained numerical optimization problems.
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根据遗传算法的基本理论，运用MATLAB编程设计实现该算法。通过数值仿真验证了该实现方法的有效性，表明它能够对函数进行全局寻优。-According to the basic theory of genetic algorithm, using MATLAB programming designed to realize the algorithm. By numerical simulation the effectiveness of the implementation method, t
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主要介绍模拟退火算法，也是一个很好的启发式算法，在数值优化中用的比较多。-Introduces the simulated annealing algorithm is a good heuristic algorithm used in the comparison of numerical optimization more.
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讲述了Matlab绘图和影像处理功能，此外增加了图形用户界面编程、数值计算、符号运算、数字信号处理、优化运算、神经网络分析、系统仿真和模糊系统设计等内容。-Tells Matlab graphics and image processing functions, in addition to increasing the graphical user interface programming, numerical computing, symbolic computing, digital s
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2011年进化计算年会数值优化问题Matlab代码-Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems，A competition for CEC2011
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2011年进化计算年会竞赛数值优化问题用C写的代码-A competition of Numerical Optimization Problems for CEC2011, c code
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扰动粒子群算法；可参考文献 " A perturbed particle swarm algorithm for numerical optimization"- code for " A perturbed particle swarm algorithm for numerical optimization"
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引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征，改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
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As the compact design of a muffler system within a constrained
environment of a existing machine room becomes obligatory, it also
becomes essential to maximize the acoustic performance of mufflers
under space constraints. In this paper, the sha
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遗传算法实例编程求解具体问题，多变量数值求解、最优化-ga-source
Numerical Optimization
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研究演化算法入门基本程序。可用于求解基本数值优化问题。c语言源码。-Getting basic evolutionary algorithm research program. It can be used to solve basic numerical optimization problems. c language source code.
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基于免疫算法的数值逼近优化分析，人工免疫算法用MATLAB程序实现-Based on the immune algorithm numerical optimization optimization analysis, artificial immune algorithm with MATLAB program to achieve
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networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks (Boost License)
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