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.
Intelligentapplicationofthealgorithms
- 智能化算法的应用，介绍了各种智能算法的概况，详细介绍了蚁群算法、免疫算法、遗传算法、粒子群算法在配电网重构中的应用，可以管中窥豹地学习智能算法在具体问题中的应用-The application of intelligent algorithms, introduced an overview of the various intelligent algorithms, detailed information on ant colony algorithm, immune algorithm,
PSO_PID
- 免疫粒子群算法用于PID整定。采用线性惯性系数，自适应交叉变异方法-AI-pso for PID tune.Using a linear inertial coefficient, adaptive crossover and mutation methods
artificial-immune-algorithm
- 智能优化算法程序代码集锦 包括：智能优化算法程序代码集锦 - 本文汇集 基因算法,差分进化算法,粒子群算法,蚂蚁克隆算法,上帝算法,人工免疫克隆算法,免疫粒子群算法的代码。-artificial immune algorithm
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
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.
PSO_AI
- 免疫粒子群算法的matlab源代码，自己设置优化函数-Immune particle swarm algorithm matlab source code, set up their own optimization function
ayy
- 免疫粒子群算法，可自己改变适应度函数以获取需要求得值-Immune particle swarm optimization, fitness function can change yourself in order to get the required value is obtained
PID
- 免疫粒子群算法用于PID整定。采用线性惯性系数，自适应交叉变异方法-Immune Particle Swarm Optimization for PID tuning. Linear inertia coefficient, adaptive crossover mutation method
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
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
智能算法
- 智能算法，含有遗传算法、模拟退火算法、BP神经网络优化、免疫算法、粒子群算法、蚁群算法等智能算法，MATLAB亲测可用。(Intelligent algorithm, including genetic algorithm, simulated annealing algorithm, BP neural network optimization, immune algorithm, particle swarm algorithm, ant colony algorithm and other
《MATLAB智能算法30个案例分析》（第二版）例程
- 遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络等最常用的30个智能算法例程(Genetic Algorithm, etc. The original book supporting 30 intelligent algorithm routines)
MATLAB智能算法30个案例分析
- 采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法等最常用的智能算法的MATLAB实现。(Taking the intelligent algorithm as the main line, we explain the MATLAB implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealin
AIPSO
- 免疫粒子群混合优化算法整定PID，该方法将免疫算法中的基于浓度的抗体繁殖策略 与粒子群优化算法相结合。对浓度低的粒子进行促进，对浓度高的粒子进行抑制，因而保持了粒子的多样性，克服了PSO 算法易于陷入局部最优点的缺点，寻优速度快。(PID paramaters optimization by AIPSO)
30个智能算法模型
- 1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-obje
MATLAB智能算法30个案例分析代码
- 压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码，对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)
免疫粒子程序
- 免疫粒子群算法是粒子群算法得一种，求30节点的电力系统潮流有较好的效果(Immune particle swarm optimization is a kind of particle swarm optimization algorithm, and it has a good effect on power flow of 30 nodes power system)
算法优化
- 针对减速器的设计，利用多种启发式的优化算法进行设计，不同于常规的工程最优化方法。(For the design of the reducer, a variety of heuristic optimization algorithms are used for design, which is different from conventional engineering optimization methods.)
粒子
- 各种粒子群优化算法，免疫粒子群优化算法，混沌粒子群算法(Various particle swarm optimization algorithms, immune particle swarm optimization algorithm, chaotic particle swarm optimization algorithm)