搜索资源列表
模拟退火c++的算法程序
- 模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value
基于遗传模拟退火算法的低空飞行器航迹规划.pdf
- 基于遗传模拟退火算法的低空飞行器航迹规划
ANNandSAA
- 用matlab编写的遗传算法和模拟退火程序-Matlab prepared using genetic algorithms and simulated annealing procedures
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.
shengtai543
- 模拟退火算法和遗传算法程序 用matlab语言实现的-Simulated annealing algorithm and genetic algorithm matlab language program with the
SAGA
- 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
GA_test
- 遗传算法：二进制、单点交叉、单点变异、轮盘赌、模拟退火(默认无)、最优个体保留(默认无)-Genetic algorithm: binary, single-point crossover, single-point mutation, roulette, simulated annealing (default no), best individual reservations (default no)
simulated-annealing-genetic-method
- 一种新型的算法，将模拟退火法和遗传算法相结合，用于求解预测问题-A new algorithm, simulated annealing and genetic algorithm are combined to solve the prediction problem for
基于遗传模拟退货的聚类算法
- 基于遗传算法和模拟退火的模糊均值聚类算法(Fuzzy mean clustering)
GA_tuihuo1
- 模拟退火优化遗传算法，改进了遗传操作，自适应参数(improved simulated annealing and optimized genetic algorithm)
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)
模拟退火遗传算法程序
- 模拟退火遗传混合算法,求解NP-HARD问题(this program is used to analyse genetic-simulated annealing algorithm (GSA) by matlab)
算法
- floyd算法又称为插点法，是一种利用动态规划的思想寻找给定的加权图中多源点之间最短路径的算法，模拟退火算法是局部最优解能概率性地跳出并最终趋于全局最优，遗传算法是一种通过模拟自然进化过程搜索最优解的方法。(The Floyd algorithm is also known as the insertion point method, which is a multi weighted graph using the idea of dynamic programming for the giv
模拟退火遗传算法
- 模拟退火遗传算法的车辆调度研究，里面具有完整的matlab程序(Research on vehicle scheduling with simulated annealing genetic algorith)
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.)
基于matlab的模拟退火-遗传算法程序
- 基于matlab的模拟退火-遗传算法程序,内有matlab代码样例，可自行下载(Matlab based simulated annealing genetic algorithm, there are examples of matlab code, you can download it yourself.)
GASA
- 运用模拟退火遗传算法解决路径优化问题，其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)
遗传模拟退火算法求解TSP问题matlab代码
- 解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)