Description: 基于遗传聚类的彩色图像分割,用caj 打开，很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis Platform: |
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Author:sdfdf |
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Description: 主要解决旅行商问题(traveling saleman problem,简称tsp，即已知n个城市之间的相互距离，现有一个推销员必须遍访这n个城市，并且每个城市只能访问一次，最后又必须返回出发城市，求解最短距离的遗传算法。-mainly to solve the traveling salesman problem (traveling saleman problem, listed tsp, known cities n between the distance from the existing one salesman must traveled n this city, and visit each city only once, finally starting to return to the city, for the shortest distance from the genetic algorithm. Platform: |
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Author:阳文 |
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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhar博士和kennedy博士发明。源于对鸟群捕食的行为研究 ，PSO同遗传算法类似，是一种基于叠代的优化工具。
-Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), and has Eberhar Dr. Dr. kennedy invention. Stems from the behavior of predatory birds, PSO with genetic algorithm is similar to an iterative optimization-based tools. Platform: |
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Author:叶开 |
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Description: 我编的遗传算法matlab程序，请大家多多指教！-I made the genetic algorithm matlab program, please the exhibitions! Platform: |
Size: 2048 |
Author:Jay lee |
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Description: 基于聚类算法的RBF网络预测matlab语言-Clustering algorithm based on the RBF network prediction matlab language Platform: |
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Author:范军 |
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Description: 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改-Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format Platform: |
Size: 2048 |
Author:许翔 |
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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: |
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Author:北平 |
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Description: 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source Platform: |
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Author:张帅 |
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Description: 本文在阅读大量遗传算法小生境技术资料基础上，介绍了遗传算法的特点、物种形成和小生境技术，详细陈述上世纪80年代以来的各种小生境实现方法，包括共享函数法、确定性排挤法、可变半径的聚类算法和隔离小生境方法等；最后对小生境遗传算法的工程应用提出了展望。
-In this paper, a lot of reading technical information niching genetic algorithm based on the characteristics of genetic algorithms introduced, species formation and niche technologies, described in detail since the last century, 80 years to achieve a variety of niche methods, including sharing function method, deterministic exclusion method, variable radius clustering algorithm and isolation niche etc. Finally, the niche genetic algorithm for engineering application prospects made.
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Author:崔暁魏 |
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Description: 遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result. Platform: |
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Author:孙准 |
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Description: 通过对./0 聚类算法进行分析，根据基因算法的特点，论文提出一种结合基因算
法与./0 聚类算法的改进方法。-Through the right./0 clustering algorithm analysis, genetic algorithm according to the characteristics of paper proposes a combination of genetic operator
Law and./0 clustering algorithm improved method. Platform: |
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Author:张正荣 |
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Description: 遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format Platform: |
Size: 5120 |
Author:李慧 |
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Description: 基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析，由于模拟退火算法和遗传算法可以互相取长补短，因此有效地克服了传统遗传算法的早熟现象，同时根据聚类问题的具体情况设计遗传编码方式、适应度函数，使该算法更有效、更快速地收敛到全局最优解。
-Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algorithm are combined for cluster analysis, the simulated annealing algorithm and genetic algorithm can complement each other, thus effectively overcome the premature convergence of the traditional genetic algorithm, and clustering problem based on the specific circumstances of the design of genetic encoding , fitness function, making the algorithm more effective, more quickly converge to the global optimal solution. Platform: |
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Author:杨剑浩 |
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