搜索资源列表
PSO
- 基于模拟退火的粒子群算法,模拟退火算法在搜索过程中具有该概率突跳的能力,能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
wangzhan
- 智能优化算法(蚁群算法,模拟退火退火算法,遗传算法,等)-Intelligent optimization algorithm (ant group, annealing, genetic algorithm and so on)
Based-on-simulated-annealing-pos
- 改程序是基于模拟退火的粒子群算法,修改参数可用。-The reform program is based on simulated annealing particle swarm algorithm, modify the parameters are available.
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题;用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
ACO3
- 融合蚁群算法和模拟退火算法的C++程序,解决TSP-Fusion ant colony algorithm and simulated annealing algorithm C++ program to solve TSP