搜索资源列表
PSO_B_SA
- 基于模拟退火的粒子群优化算法,示例程序，用于求解复杂函数的极值问题（源程序中的示例函数为Camel，Rastrigrin，Ackley）-PSO_A Alogrithm ,Hybrid particle swarm-based-simulated annealing optimization algorithm
SA
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
simAnealing
- Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used whe
SA-rosenbrock
- Simulated annealing m-file for Rosenbrock function optimization
TestFunctionsForOptimization
- This paper provides the review of literature benchmarks (test functions) commonly used in order to test optimization procedures dedicated for multidimensional, continuous optimization task. Special attention has been paid to multiple-extreme func
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
sa-tsp
- 应用模拟退火的TSP优化算法，程序注释清晰，运行流畅-The TSP simulated annealing optimization algorithm, the program notes clear and running smoothly
sso_simple
- simplified swarm optimization的matlab版本，可以節省寫程式的時間。本程演算法已驗證可以在某些問題上找到比pso、ga、sa、ts、aco等演算法更好的解。-simplified swarm optimization in matlab version, you can write a program to save time. The scheduling algorithm has been verified can find better than pso,
unit_opt
- The architecture of this set of codes and the interaction among them is shown in Figure 1. The main testing code main code.m calls the code riemann grad unit opt.m that performs Riemannian optimization under unitary matrix constraint. Steepest De
Algorithms
- matlab源码：K-means算法,粒子群算法PSO，模拟退火算法SA-The matlab source code: K- means algorithm, particle swarm optimization (PSO, simulated annealing algorithm SA
SA
- SA模拟退火算法，解决了函数优化问题，只要改变目标函数就可以对不同的函数进行优化。-SA simulated annealing algorithm to solve the function optimization problem, just change the objective function can be optimized for different functions.
SA
- 模拟退火算法，客服陷入局部最小缺陷，进行全局最优化求解。-Simulated annealing algorithm, customer service into a local minimum defect and solving global optimization.