Description: 遗传算法得一种编译程序,不是很正统，但是很新颖，并且方法简单，很实用，是计算机运行的时间更加快
-Genetic algorithms have a compiler, is not very orthodox, but very innovative, and method is simple, very practical, it is time the computer is running more to speed up Platform: |
Size: 2048 |
Author:魏巍 |
Hits:
Description: 6中AI算法，包括路径规划与移动技术、有限状态机，脚本技术，群聚技术，遗传算法，神经网络，每个算法中都有例子程序。-6 AI algorithms, including path planning and mobile technology, finite state machines, scripting technologies, clustering techniques, genetic algorithms, neural networks, each algorithm, there are examples of procedures. Platform: |
Size: 2953216 |
Author:北平 |
Hits:
Description: 关于遗传算法的书籍，我这里有十本关于这方面的资料，为了争积分，智能一本一本上传-About genetic algorithms books, I have about 10 such information, in order to dispute points, a smart one upload Platform: |
Size: 4088832 |
Author:lzd |
Hits:
Description: 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序-This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program Platform: |
Size: 134144 |
Author: |
Hits:
Description: 利用遗传算法中的gaopt函数求解函数最优化问题-The use of genetic algorithms in function gaopt function optimization problem solving Platform: |
Size: 2048 |
Author:Alice Wang |
Hits:
Description: 遗传算法的PID调节
题目：已知 ，利用GA 寻优PID参数，其中K=1，T=2， ，二进制/实数编码，位数不限，M，Pc，Pm自选，性能指标 ，Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the median, M, Pc, Pm-on-demand, performance indicators, Q = 100 step for the simulation. Platform: |
Size: 2048 |
Author:qiqi |
Hits:
Description: 遗传算法指南（A Genetic Algorithm Tutorial）：经典的遗传算法文献-This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel island models and parallel cellular genetic algorithms. Platform: |
Size: 2241536 |
Author:columbia |
Hits:
Description: 用遗传算法解决了图像分割问题，将图像中的像素按灰度值用域值M分为两类图像，一类为目标图像，另一类为背景图像，经过几十次迭代后有助于缩小检索范围-Using genetic algorithms to solve the image segmentation problem, the image pixel gray value according to the value of M is divided into two categories with the domain images, one type is the target image, and the other as the background image, after dozens of iterative help on narrow your search Platform: |
Size: 464896 |
Author:宁国富 |
Hits:
Description: 油气解释专家系统源码，用于油田油气水的测录井解释，使用了遗传学算法-Oil and Gas explain the expert system source code for the oil and gas fields of water logging interpretation using genetic algorithms Platform: |
Size: 38912 |
Author:gpluo |
Hits:
Description: 手写数字识别,分为分类程序（模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器）和聚类程序（模糊聚类、遗传算法）-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers) and the clustering procedure (fuzzy clustering, genetic algorithms) Platform: |
Size: 757760 |
Author:沉浮沉 |
Hits:
Description: Zbigniew Michalewicz s Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algorithms to numerical optimization. Michalewicz, who is a pioneer in this field, discusses the rationale for using genetic algorithms for numerical optimization and describes several experiments that show how this new type of genetic algorithm performs. The author devotes the third section of the book to evolution programs. Platform: |
Size: 19352576 |
Author:marcin |
Hits:
Description: 排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co Platform: |
Size: 1290240 |
Author:张林杰 |
Hits:
Search - genetic algorithms