Description: 。《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、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic algorithm, immune algorithm and annealing algorithm, particle swarm optimization, fish swarm algorithm, ant colony algorithm and neural network algorithm most commonly used intelligence algorithm in MATLAB. High reference value for the majority of researchers. Platform: |
Size: 1024 |
Author:jueyouli |
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Description: 。《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、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic algorithm, immune algorithm and annealing algorithm, particle swarm optimization, fish swarm algorithm, ant colony algorithm and neural network algorithm most commonly used intelligence algorithm in MATLAB. High reference value for the majority of researchers. Platform: |
Size: 1544192 |
Author:jueyouli |
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Description: ：仿生优化算法是模拟自然界中生物行为的随机搜索算法，可以用来解决现实中的许多优化问题。简要介绍了目前比
较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理；然后深入分析了这
些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior
of species．They age mainly applied to solve various optimization problems．This paper proposes the formulation of
four recent biology—based algorithms：an t colony algorithm，particle swarm optimization algorithm，artificial immune
algorithm，and artificial fish—swarln algorithm Platform: |
Size: 293888 |
Author:zhangyan |
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Description: SP(旅行商)问题代表组合优化问题,具有很强的工程背景和实际应用价值,但至今尚未找到非常有效的
求解方法.为此,讨论了最近研究比较热门的使用各种智能优化算法(蚁群算法、遗传算法、模拟退火算法、禁忌搜索
算法、Hopfield神经网络、粒子群优化算法、免疫算法等)求解 TSP问题的研究进展,指出了各种方法的优缺点和改
进策略.最后总结并提出了智能优化算法求解 TSP问题的未来研究方向和建议.
-Traveling salesman problem (TSP) is the representation of a kind of combination optimization problems,
possessing a strong engineering background and practical application value. However, there is no effective corre
2 sponding solution to it. A im at that, the research and application of themostpopularmeta
2heuristicmethods such as ant colony algorithm, genetic algorithm, simulated annealing, tabu search, hopfield neural network, particle swarm optimization and immune algorithm, etc. are reviewed. The advantages and disadvantages of each method and the improvement strategies are discussed. The future research direction and sug
Platform: |
Size: 399360 |
Author:chenchen |
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Description: 基于免疫粒子群优化算法整定自抗扰控制器的参数，算法简单，程序可行。-Based on immune particle swarm optimization algorithm tuning the parameters of ADRC, the algorithm is simple, the program is feasible. Platform: |
Size: 203776 |
Author:木木 |
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Description: 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 information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points . Platform: |
Size: 2048 |
Author:DDG |
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Description: 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 Platform: |
Size: 4096 |
Author:miyang |
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Description: 本程序为基于免疫的粒子群优化算法经典程序，本程序注释非常详细。是在免疫算法的基础上采用粒子群优化对抗体群体进行更新，解决了免疫算法收敛慢的缺点。-This procedure based on immune particle swarm optimization algorithm is a classic program. Is on the basis of immune algorithm USES the particle swarm optimization to update of antibody population, solved the immune algorithm is convergence slow shortcomings. Platform: |
Size: 2048 |
Author:邓振立 |
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Search - particle swarm optimization immune