搜索资源列表
my_pso
- 将粒子群算法与免疫结合，计算函数的优化极值。-The particle swarm optimization combined with the immune calculated extremal function optimization.
PAI
- 改进得PSO算法程序，加入了免疫克隆思想 -PSO algorithm to improve a process, joined the Immune Clonal thinking
csa-ga-pso
- 人工免疫算法、粒子群算法、遗传算法、寻优的matlab程序 -Artificial immune algorithm, particle swarm optimization, genetic algorithms, optimization matlab program
ipso
- 用免疫粒子群对压电陶瓷执行器进行模型辨识的一种方法-immune PSO
MATLAB-ACO-PSO-IA
- 群智能算法包括蚁群、粒子群算法等，以及人工免疫算法-Swarm intelligence algorithms include ant colony, particle swarm optimization, and artificial immune algorithm
pso
- 免疫算法的代码，非常实用简单,程序后面的注释能帮助立刻理解程序意思，并且子模块分开，易于改动-Immune algorithm code, very useful and simple notes behind the program can help immediately understand the meaning of the program, and separated from the sub-module, easy to change
Immune-particle-swarm-algorithm
- 免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。-Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of info
ACO_AIA_PSO
- 综合粒子群和蚁群算法，再利用免疫算法中交叉变异算子；形成ACO-AIA-PSO混合算法，求解TSP问题-Integrated particle swarm and ant colony algorithm, and then use the crossover operator and mutation operator of immune algorithm the formation of ACO-AIA-PSO hybrid algorithm, for solving the TSP
pso
- PSO算法的代码和文章写作。自适应粒子群算法和免疫粒子群算法。-PSO algorithm code and article writing. Adaptive particle swarm optimization algorithm and immune particle swarm optimization.
psojvleisuanfa
- 基于人工免疫pso的聚类算法，人工免疫的粒子群优化算法-Clustering algorithm based on artificial immune pso, artificial immune particle swarm optimization algorithm
IAPSO
- 将免疫算法与粒子群算法相结合，形成免疫粒子群算法，利用免疫算法中抗体调节机制优化粒子多样性，避免陷入局部最优解，提高了算法的寻优性能。-Combining immune algorithm with particle swarm optimization (pso) algorithm, the formation of immune particle swarm optimization (pso) algorithm, the adjustment mechanism of antibody
PSO_immu
- 基于免疫的粒子群算法，采用粒子群优化对抗群体进行更新，解决收敛慢的缺点-Particle swarm optimization based on immune, PSO against groups updated address the shortcomings of slow convergence
粒子群优化算法以及改进的PSO算法代码matlab
- 粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster