人工智能/蚁群算法

[{"title":"（ 42 个子文件 3.81MB ） 人工智能/蚁群算法","children":[{"title":"蚁群算法","children":[{"title":"自适应进化的蚁群算法及其仿真研究.caj <span style='color:#111;'> 74.26KB </span>","children":null,"spread":false},{"title":"自适应蚁群算法.caj <span style='color:#111;'> 64.71KB </span>","children":null,"spread":false},{"title":"用于求解函数优化的一个蚁群算法设计.kdh <span style='color:#111;'> 293.96KB </span>","children":null,"spread":false},{"title":"一种自适应蚁群算法及其仿真研究.kdh <span style='color:#111;'> 367.04KB </span>","children":null,"spread":false},{"title":"用于一般函数优化的蚁群算法.caj <span style='color:#111;'> 29.56KB </span>","children":null,"spread":false},{"title":"用改进蚁群算法求解函数优化问题.caj <span style='color:#111;'> 52.57KB </span>","children":null,"spread":false},{"title":"蚁群算法的理论与应用.caj <span style='color:#111;'> 282.08KB </span>","children":null,"spread":false},{"title":"用蚁群算法求解类TSP问题的研究.kdh <span style='color:#111;'> 74.78KB </span>","children":null,"spread":false},{"title":"连续优化问题的蚁群算法研究进展.caj <span style='color:#111;'> 28.97KB </span>","children":null,"spread":false},{"title":"蚁群算法及其连续优化算法初析.kdh <span style='color:#111;'> 56.63KB </span>","children":null,"spread":false},{"title":"蚁群算法的研究现状.caj <span style='color:#111;'> 48.30KB </span>","children":null,"spread":false},{"title":"蚁群算法进行连续参数优化的新途径.caj <span style='color:#111;'> 126.74KB </span>","children":null,"spread":false},{"title":"一种快速全局优化的改进蚁群算法及仿真.caj <span style='color:#111;'> 48.55KB </span>","children":null,"spread":false},{"title":"蚁群算法的改进及其应用.caj <span style='color:#111;'> 98.17KB </span>","children":null,"spread":false},{"title":"基于蚁群算法的中国旅行商问题满意解.caj <span style='color:#111;'> 37.41KB </span>","children":null,"spread":false},{"title":"蚁群算法及其实现方法研究.caj <span style='color:#111;'> 75.04KB </span>","children":null,"spread":false},{"title":"带杂交、变异因子的自适应蚁群算法在电力系统无功优化中的应用.caj <span style='color:#111;'> 47.32KB </span>","children":null,"spread":false},{"title":"基于MATLAB的改进型基本蚁群算法.caj <span style='color:#111;'> 39.49KB </span>","children":null,"spread":false},{"title":"动态蚁群算法求解TSP问题.kdh <span style='color:#111;'> 460.07KB </span>","children":null,"spread":false},{"title":"一种动态自适应蚁群算法.kdh <span style='color:#111;'> 548.08KB </span>","children":null,"spread":false},{"title":"智能蚂蚁算法——蚁群算法的改进.caj <span style='color:#111;'> 39.33KB </span>","children":null,"spread":false},{"title":"一种新的进化算法——蚁群算法.caj <span style='color:#111;'> 73.53KB </span>","children":null,"spread":false},{"title":"蚁群算法的研究现状及其展望.caj <span style='color:#111;'> 121.70KB </span>","children":null,"spread":false},{"title":"带杂交算子的蚁群算法.kdh <span style='color:#111;'> 145.84KB </span>","children":null,"spread":false},{"title":"简单蚁群算法的仿真分析.caj <span style='color:#111;'> 90.87KB </span>","children":null,"spread":false},{"title":"自适应调整信息素的蚁群算法.caj <span style='color:#111;'> 133.76KB </span>","children":null,"spread":false},{"title":"蚁群算法中有关算法参数的最优选择.caj <span style='color:#111;'> 90.54KB </span>","children":null,"spread":false},{"title":"蚁群算法的理论及其应用.kdh <span style='color:#111;'> 259.35KB </span>","children":null,"spread":false},{"title":"连续优化问题的蚁群算法研究.caj <span style='color:#111;'> 41.31KB </span>","children":null,"spread":false},{"title":"一种改进的蚁群算法求解最短路径问题.kdh <span style='color:#111;'> 176.14KB </span>","children":null,"spread":false},{"title":"基于蚁群算法的多层前馈神经网络.caj <span style='color:#111;'> 211.83KB </span>","children":null,"spread":false},{"title":"一种基于蚁群算法的TSP问题分段求解算法.caj <span style='color:#111;'> 153.55KB </span>","children":null,"spread":false},{"title":"蚁群算法求解连续空间优化问题的一种方法.caj <span style='color:#111;'> 355.48KB </span>","children":null,"spread":false},{"title":"于分布均匀度的自适应蚁群算法.caj <span style='color:#111;'> 468.70KB </span>","children":null,"spread":false},{"title":"蚁群算法的研究现状和应用及蚂蚁智能体的硬件实现.caj <span style='color:#111;'> 51.82KB </span>","children":null,"spread":false},{"title":"蚁群算法概述.caj <span style='color:#111;'> 43.48KB </span>","children":null,"spread":false},{"title":"求解复杂TSP问题的随机扰动蚁群算法.caj <span style='color:#111;'> 85.85KB </span>","children":null,"spread":false},{"title":"蚁群算法原理的仿真研究.caj <span style='color:#111;'> 63.25KB </span>","children":null,"spread":false},{"title":"基于蚁群算法的一类扩展型TSP研究.caj <span style='color:#111;'> 81.50KB </span>","children":null,"spread":false},{"title":"蚁群算法的全局收敛性研究及改进.caj <span style='color:#111;'> 60.77KB </span>","children":null,"spread":false},{"title":"人工蚁群算法理论及其在经典TSP问题中的实现.caj <span style='color:#111;'> 83.29KB </span>","children":null,"spread":false},{"title":"一种新的自适应蚁群算法及其应用.caj <span style='color:#111;'> 56.34KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]