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遗传算法和模拟退火算法相结合的并行实现
- 遗传算法和模拟退火算法相结合的并行实现-genetic algorithms and simulated annealing algorithm combining the parallel implementation
SA_GA
- 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 algo
QoSRoute-GA
- 带有QoS约束的组播路由问题是一个NP完全问题，遗传模拟退火算法是遗传算法和模拟退火算法的一种融合，可以为这类问题提供一个解决方案-With QoS constraint multicast routing problem is an NP-complete problem, genetic simulated annealing algorithm is a genetic algorithm and simulated annealing algorithm as a fusion, you
ycthjhsf
- 遗传退火进化算法, 遗传退火进化算法-Genetic annealing evolutionary algorithm, genetic annealing evolutionary algorithm
TSPmatalab
- TSP问题遗传退火算法，采用matalab编程-TSP problem of genetic-annealing algorithm, using matalab Programming
TSP
- 这是一个人工智能方面的算法程序，里面包含模拟退火算法、神经网络算法以及遗传算法三个。-This is an area of artificial intelligence algorithm procedure, which includes simulated annealing algorithm, neural network algorithms and genetic algorithms in three.
genetic
- 改C程序结合了遗传算法和模拟退火算法的思想，能求出网络图中各工序的最优开工时间和工程的收益的净现值。-C program to a combination of genetic algorithms and simulated annealing algorithm can find the network map to start the process of the optimal time and the project' s net present value of earning
matlabSA
- matlab 模拟退火算法 内含遗传算法及迭代过程-simulated annealing algorithm matlab implicit and iterative process of genetic algorithm
123
- 绝对经典的模拟退火算法源文件 含遗传算法-Absolute classic simulated annealing algorithm with genetic algorithm source files
TSP_GSA
- tsp问题，是一个很典型的NP完全问题，该程序用了遗传—退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing
TSP
- 用模拟退火算法和遗传算法实现TSP旅行商问题，并可以用Matlab对结果进行图形显示分析，非常实用于初学者-Using simulated annealing algorithm and genetic algorithm traveling salesman problem TSP, and the results can be used Matlab graphics analysis, very useful for beginners
modern_youhua
- 现代最优化算法（有170多页的PPT，2010年的） 分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法 现在常用的优化算法 禁忌搜索算法 模拟退火算法 遗传算法 人工神经网络 蚁群算法 粒子群算法 混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
gmt
- 此为遗传算法和模拟退火算法相结合的一个方法，可实现对函数的优化-This is the genetic algorithm and simulated annealing algorithm, a combination of methods, the optimization function can be realized
computer_classical_arithmetic
- 该文件主要为分治策略、概率算法、回溯算法、枚举法、模拟退火算法、排序算法、搜索算法、贪心算法、遗传算法、蚁群算法的介绍及实现方式-The document mainly divide and conquer, probabilistic algorithms, backtracking algorithm, enumeration method, simulated annealing algorithm, sorting algorithm, search algorithm, greedy
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
遗传退火进化算法.rar
- 可以利用模拟退火算法通过降温求得最优解和最优规划(The simulated annealing algorithm is used to obtain the optimal solution and the most optimal planning)
[原创]模拟退火算法论文集
- 牛顿迭代求根遗传退火算法的APP打包，十分实用，适合新手(The Numerical Phenomenon in Newton's Iterative Method for Solving Complex Polynomials)
基于遗传模拟退火算法的聚类算法
- 遗传模拟退火算法和聚类算法的结合，有助于学生课程设计，熟悉算法代码的学习(The combination of genetic simulated annealing algorithm and clustering algorithm is helpful to students' curriculum design and familiarity with algorithm code learning.)
MATLAB智能算法30个案例分析代码
- 压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码，对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)
遗传退火算法fortran实现
- 遗传算法与模拟退火算法的混合算法，用于最优化问题的求解。(The hybrid algorithm of genetic algorithm and simulated annealing algorithm is used to solve the optimization problem.)