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ACO-dynamic-pathfinding-
- 蚁群算法动态寻路 蚂 蚁通过分泌信息素来加强较好路径上的信息素的强度, 同时按照路径上的信息素 强度来选择下一步的路径, 好的路径将会被越来越多的蚂蚁选择, 因此更多的信 息素将会覆盖较好的路径, 最终所有的蚂蚁都集中到了好的路径上. 蚂蚁的这种 基于信息素的正反馈原理正是整个算法的关键所在.-ACO dynamic pathfinding。 ants secrete pheromone enhanced by a better path pheromone strength, whil
ACO
- 蚁群算法!!!经典培训资料,建模必备-ACO! ! ! Classical training materials, modeling must! ! ! ! ! ! ! ! ! !
ant
- 蚁群算法(ant colony algorithm,简称ACA)是20世纪90年代由意大利学者M.Dorigo等人首先提出来的一种新型的模拟进化算法.它的出现为解决NP一难问题提供了一条新的途径.用蚁群算法求解旅行商问题(TSP)、分配问题(QAP)、调度问题(JSP)等,取得了一系列较好的实验结果.虽然对蚁群算法研究的时间不长,但是初步研究已显示出蚁群算法在求解复杂优化问题(特别是离散优化问题)方面具有一定的优势,表明它是一种很有发展前景的方法.蚁群算法的主要特点是:正反馈、分布式计算.正反馈
aco
- 蚁群算法,一种用来在图中寻找优化路径的机率型算法。-ant colony optimization, ACO
matrixaco
- 一个基于矩阵分布的改进型蚁群算法(ACO),可用于矩形区域分布的孔加工路径规划-A matrix based on the distribution of improved ant colony algorithm (ACO), can be used for regional distribution of hole machining rectangular path planning
ACO
- Ant Colony Optimization for VRP
ACO-TSP-5
- 采用ACO蚁群算法解决TSP问题。 有详细的讲解标注。-use aco to solute the TSP PROBLEM.
ACO
- aco-ga for feature selection
simple-aco
- simple aco algorithm for classification
A-compound-improved-ACO
- 一混合改进蚁群算法程序,并将其应用于函数优化中-A compound improved ACO in function optimizaition.rar
my-ACO-for-TSP
- solving TSP problem with ACO in matlab
ACO
- 利用蚁群算法找最短路径的matlab代码 -find the shortest path using ACO
ACO-for-TSP
- tsp aco algorithm with simulation
ACO-for-TSP
- ACO algorithm for TSP(Traveling Salesman Problem)
ACO
- 蚁群算法 ANT COLONY ALGORITHM ACO-Ant Colony Algorithm ANT COLONY ALGORITHM ACO
ACO-for-TSP
- ANT Colony Optimization (ACO) for Traveling Salesman Problem (TSP)
ACO
- Requires matlab coding of target tracking using ACO.the algorithm is provided in the base paper attached
ALGORITHME-ACO-TOILE-ARAIGNEE
- A c++ algorithm ACO using la toile d araignées
ACO-TSP
- 运用ACO解决tsp问题,运用城市坐标可以检测tsp问题的正确性。-Use ACO to solve tsp problem, the use of the city coordinates can detect the the tsp problem of correctness.
ACO
- this is a code for UCTP using ACO, this code is not complete-this is a code for UCTP using ACO, this code is not complete...