搜索资源列表
DS-for-MIMO-and-HARQ
- MIMO 检测与HARQ 合并中的不确定性处理研究,介绍了通过证据理论的方法进行MIMO信号检测,以及HARQ合并,同时也介绍了一些人工智能算法,例如遗传算法或模拟退火算法-MIMO detector combined with the uncertainty HARQ processing research, describes the method of performing MIMO signal detection theory of evidence, and HARQ merger,
GA-and-SA-TO-SOLVE-TSP
- 用遗传算法和模拟退火算法解决TSP问题,希望能够帮到你-Solve TSP using genetic algorithms and simulated annealing algorithm
ACO-PID
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to the ant colony algorithm can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle s
NP-hard-problem
- matlab模拟退火算法,处理背包问题,相比较与遗传算法模拟退火原理简单,编译容易-matlab simulated annealing algorithm to handle the knapsack problem, compared with the genetic simulated annealing algorithm is simple, easy to compile
ACO-PID
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
SGA2
- 模拟退火算法和遗传算法相结合,构建的模拟退火遗传算法,实现优势互补-Simulated annealing algorithm is combined with genetic algorithm, simulated annealing genetic algorithms to construct, realize the complementary advantages!!
SA_GA_ExampleI
- 基于谢菲尔德大学的遗传算法的模拟退火算法-University of Sheffield, based on genetic algorithm simulated annealing algorithm
PSO
- 粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
pso-bp
- 粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
simulated-annealing
- 清华大学本科生智能优化课程报告,用模拟退火算法和遗传算法解决TSP问题,含核心代码和注释-Tsinghua University undergraduate course reports intelligent optimization, simulated annealing algorithm and genetic algorithm to solve TSP problem, including the core code and comments
GA_SA.matlab
- 模拟退火算法和遗传算法,智能算法里面的两个重要算法思想;程序已经通过了测试,可直接运行;-Simulated annealing algorithm and genetic algorithms, intelligent algorithms inside two important algorithms thought the program has passed the test can be run directly
nice
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
matlab
- 很全的智能算法,包括粒子群算法、模拟退火算法、遗传算法、TSP问题求解、蚁群算法、人工神经网络算法以及相关结合算法-A full of intelligent algorithm, including the particle swarm algorithm, simulated annealing algorithm, genetic algorithm, the TSP problem, ant colony algorithm, and the combination of artific
ArtificialIntelligence
- 一些人工智能方面的学习源码,用java写的。包括遗传算法 alpha-beta剪枝 模拟退火算法 九宫格 传教士与野人等问题或者算法实现源码。-Some artificial intelligence to learn the source code, written in java. Including genetic algorithm alpha-beta pruning simulated annealing algorithm and other missionaries and Sa
POS
- 粒子群算法(PSO)属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。该程序适用于MATLAB中粒子群算法的实现。- Similar to the on
nangfao_V2.2
- 用MATLAB编写的遗传算法路径规划,基于混沌的模拟退火算法,实现用SDRAM运行nios,同时用SRAM保存摄像头数据。- Genetic algorithms using MATLAB path planning, Chaos-based simulated annealing algorithm, Implemented with SDRAM run nios, while saving camera data SRAM.
FDPSO
- PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。-Particle Swarm optimization
MTSP
- 多旅行商MTSP问题遗传算法应用遗传算法求解多旅行商问题的算法设计,并将其与模拟退火算法比较与结合,有效提高了运算的速度和效率。-Multi traveling salesman MTSP problem genetic algorithm genetic algorithm to solve the problem of multiple traveling salesman problem algorithm design, and it is compared with the simul
mat
- 在传统的K均值算法中引入了遗传算法和模拟退火算法,将两种算法相结合,通过交叉、变异、模拟退火等操作,实现了聚类分析。-The genetic algorithm and simulated annealing algorithm are introduced in the traditional K algorithm, and the two algorithms are combined to achieve the cluster analysis through the crossove
GASA
- 模拟退火算法和遗传算法,智能算法里面的两个重要算法思想-Simulated annealing algorithm and genetic algorithms, intelligent algorithms inside two important algorithms thought the program has passed the test can be run directly