Description: 使用遗传算法的走迷宫程序。适合新手学习GA使用-use of genetic algorithms Maze procedure. Suitable for novice learning to use GA Platform: |
Size: 24576 |
Author:DL |
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Description: 本文深入研究了 BP 神经网络与遗传算法理论，BP 神经网络在应用过程中面临
着网络训练时间长、容易陷入局部极小值、隐层节点数不易确定等缺点，为了有效
地克服 BP 网的困难，将遗传算法与 BP 网络有机地融合，使它们之间的相互补充增
强彼此的能力，从而获得更有力的解决实际问题的能力。
-this in-depth study of artificial neural networks and genetic algorithms theory, BP neural network applications in the process of facing network training a long time and easily into the local minimum value, hidden nodes is difficult to determine such shortcomings, in order to effectively overcome the difficulties BP network, Genetic Algorithm and BP organic integration of the network, so that they complement each other between enhance mutual capability, thus more effective to solve practical problems. Platform: |
Size: 558080 |
Author:罗旺 |
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Description: 基于ＮＳＧＡ-II方法的多目标遗传算法程序,本程序为通用包,可自行修改.-based NSGA-II method of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own. Platform: |
Size: 4096 |
Author:许峰 |
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Description: 基于MOGA方法的多目标遗传算法程序,本程序为通用包,可自行修改.-MOGA is based on the multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own. Platform: |
Size: 4096 |
Author:许峰 |
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Description: 基于SPEA方法的多目标遗传算法程序,本程序为通用包,可自行修改.-based SPEA methods of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own. Platform: |
Size: 3072 |
Author:许峰 |
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Description: 用遗传算法解决旅行商问题的简单实现．word格式，简单，易懂
-using genetic algorithms to solve the traveling salesman problem simple realization. Word format, a simple, understandable Platform: |
Size: 82944 |
Author:王子文 |
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Description: 以VC6写的用遗传算法解决8皇后（8queens）问题，包括遗传算法介绍和代码的使用方法说明word文档-to write using genetic algorithms to solve the Queen (8queens). including genetic algorithms and code on the use of the methodology word document Platform: |
Size: 73728 |
Author:大象 |
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Description: 这个程序是用遗传算法解决车辆路径问题的．程序完整，完美．-the procedure is using genetic algorithms to solve vehicle routing problem. The integrity of the process and perfect. Platform: |
Size: 11264 |
Author:王二 |
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Description: 这是一个利用MATLAB遗传算法工具箱进行求函数最值的实际程序文档，对数学建摸及从事算法研究的人员具有很好的参考价值-This is a genetic algorithms using MATLAB toolbox function for the most value for the actual process documentation, mathematical modeling and algorithm engaged in the research staff has a good reference value Platform: |
Size: 20480 |
Author:西城刀客 |
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Description: C#编写的遗传算法程序，可以实现对参数的优化处理。各个函数都单独列出，可以方便扩展-prepared by the process of genetic algorithms can be realized by the optimization of processing parameters. All functions are provided separately, to facilitate expansion Platform: |
Size: 4096 |
Author:詹华 |
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Description: 使用遗传算法来训练神经网络，编写的matlab源程序，供大家参考。-The use of genetic algorithms to train neural networks, the preparation of the matlab source code for reference. Platform: |
Size: 1024 |
Author:张杰 |
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Description: 使用遗传算法解决MTSP问题的一种新的染色体设计-The use of genetic algorithms to solve the MTSP problem the design of a new chromosome Platform: |
Size: 191488 |
Author:pengchao |
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Description: 非常简单的一个神经网络小程序 自己写的 还用了遗传算法进行优化-Very simple neural network of a small program written in their own also used genetic algorithms to optimize Platform: |
Size: 1024 |
Author:lxg |
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Description: matlab中的种算法的应用实例，包括遗传算法，对我们学习matlab工具箱有很大的帮助。-matlab in the application of algorithms, including genetic algorithms, for us to learn matlab toolbox has a lot of help. Platform: |
Size: 6669312 |
Author:张三 |
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Description: 這是利用基因演算法來計算皇后問題的小程式 絕對是狠快速的方法-This is the use of genetic algorithms to calculate the Queen s problems is a small program relentless rapid method Platform: |
Size: 2048 |
Author:葉書豪 |
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Description: 为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度-For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation Platform: |
Size: 14336 |
Author:cekong |
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