搜索资源列表
daima
- 遗传-模拟退火算法解决组合优化问题，结合遗传算法与模拟退火算法各自的优点-Genetic- simulated annealing algorithm to solve combinatorial optimization problems, the respective advantages of the combination of genetic algorithms and simulated annealing algorithm
30-cases-in-matlab
- MATLAB智能算法30个案例分析，109页的详细讲解，程序和程序注解，可以直接复制代码。包括遗传算法，基于遗传算法和非线性规划的函数寻优算法，遗传算法工具箱详解及应用，多种群遗传算法的函数优化算法， 基于粒子群算法的多目标搜索算法，基于多层编码遗传算法的车间调度算法，基于遗传模拟退火算法的聚类算法，蚁群算法，支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
MoNiTuiHuo
- 模拟退火算法解决函数优化问题，智能信息处理课程的实验，感兴趣的可以下载-Simulated annealing algorithm to solve function optimization problems, the course of the experiment of Intelligent Information Processing, interested can download and see
TSP
- TSP问题是一个典型的、容易描述但是难以处理的NP完全问题，同时TSP问题也是诸多领域内出现的多种复杂问题的集中概括和简化形式。目前求解TSP问题的主要方法有启发式搜索法、模拟退火算法、遗传算法、Hopfield神经网络算法、二叉树描述算法。所以，有效解决TSP问题在计算理论上和实际应用上都有很高的价值，而且TSP问题由于其典型性已经成为各种启发式的搜索、优化算法的间接比较标准(如遗传算法、神经网络优化、列表寻优(TABU)法、模拟退火法等)。遗传算法就其本质来说，主要是解决复杂问题的一种鲁棒性
09021425
- 聚类算法，以及基于遗传模拟退火算法的聚类算法，优化聚类算法-Clustering algorithm, and the clustering algorithm based on genetic simulated annealing algorithm to optimize the clustering algorithm
sa-qpso
- 基于模拟退火算法的量子行为粒子群优化算法-Based on simulated annealing algorithm of particle swarm optimization algorithm
simulated-annealing
- 一种智能优化算法-模拟退火算法的matlab源程序-simulated annealing
SA-TSP
- 基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析-The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of sub
SA_TSP
- 用模拟退货算法解决商旅问题，模拟退火算法是三大非经典算法之一，与优化问题相结合。-Using simulated returns algorithm to solve the traffic problem, simulated annealing algorithm is one of the three non-classical algorithm, combined with the optimization problem.
The-Multi-user-Detection-paper
- 提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
mnth
- 使用模拟退火算法进行函数优化，使用matlab编写，f为目标函数,mnth.m为模拟退火算法调用f.m解决问题的代码-Using simulated annealing algorithm for function optimization, using matlab prepared, f is the objective function, mnth.m as simulated annealing algorithm to solve the problem of code calls f
SA_tool_example
- 使用模拟退火算法进行函数优化，使用matlab编写，f为目标函数,mnth.m为模拟退火算法调用f.m解决问题的代码-Using simulated annealing algorithm for function optimization, using matlab prepared, f is the objective function, mnth.m as simulated annealing algorithm to solve the problem of code calls f
scheduling-in-flow-shop
- 本文将局部优化与模拟退火算法结合解决了置换流水车间的订单接收和调度问题。本文给出了数学模型，局部优化策略，邻域搜索的3个操作(Swap, Insert, Reverse)，并给出了相应的调度和计算收益的程序。 -Permutation flow shop scheduling with order acceptance and weighted tardiness.
SA-TSP
- 使用模拟退火算法来解决TSP旅行商优化问题-Using simulated annealing algorithm to solve TSP traveling salesman optimization problem
Simulated-Annealing-matlab-code
- Simulated Annealing matlab code.zip是一个实用的标准的模拟退火算法（SA）matlab程序，非常适合学习智能优化算法的朋友下载来学习。-Simulated Annealing matlab code.zip is a practical standard simulated annealing (SA) matlab program, very intelligent optimization algorithms for learning a friend t
Simulated-Annealing-Tools-Software
- 模拟退火算法是通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-Simulated annealing algorithm is a time-varying by giving the search process and ultimately tends to zero the probability of jumps, thus can effectively avoid local minima and eventual
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
sa
- 这是本人在做项目时编写的一个模拟退火算法。利用该算法可以求解无约束优化问题。对于约束优化问题，可做相应的修改，即可使用。-The Simulated Annealing program is coded in Matlab. You can use the program to solve the unconstrained optimization program.
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
SA
- 最简单的模拟退火算法，自己编的小程序，用于优化问题，求全局最小值。-simmulated annealing (SA)