搜索资源列表
JavaACSFramework
- 伴随JavaACSFrameworkSrc.zip使用，是前者的介绍和使用说明书，关键字： Ant Colony, ACO-Accompanied by the use of JavaACSFrameworkSrc.zip is the introduction and use of the former descr iption, keyword: Ant Colony, ACO
ACO(2)
- Ant Colony Optimization
2242-2005-09-02-aco-c.tar
- ant colony hormigas c-ant colony hormigas c++
ijrte0101611615
- IMAGE SEGMENTATION USING ACO: THE CONCEPT OF SWARM INTELLIGENCE
TomislavBronic_ACO
- TomislavBronic - objasnjenje rada ACO algoritma-TomislavBronic- objasnjenje rada ACO algoritma
Aco-chapter.pdf.tar
- it is data about artificial intelligence
ACOTSP.V1.01
- ACO TSP in C++ programer
A-PSO-approach-to-clustering
- 一种较ACO、ABC算法优越的 PSOclustering-a particle swarm optimization approach to clustering
c-code(aco)
- It is tha Ant colony optimization problem.
fitnessfun
- a novel fitness function for utilization for images segmentation using a metaheuristic method (GA, pso, sfla, aco...)
aco
- 学术大论文，本文针对蚁群算法进行描述及改进，有很高的参考价值-Academic papers, this paper describes and improvement on ant colony algorithm, a high reference value
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.
CAT
- Optimization problems are very important in many fields. To the present, many optimization algorithms based on computational intelligence have been proposed, such as the Genetic Algorithm, Ant Colony Optimization (ACO), and Particle Swarm
ACOTSPJava-1.0.3-1.0.1
- ACO tsp in Java A Java implementation of ACO algorithms for the TSP This software provides an implementation of various Ant Colony Optimization (ACO) algorithms for the symmetric Traveling Salesman Problem (TSP).
mayisuanfa
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为-Ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm, is a probabilistic algorithm used to find optimal
ACO-TSP
- Ant Colony Optimization Algorithm (ACO) and TSP ACO algorithm mimics the behavior of real life ants and on how they interact with each other. The basic philosophy of the algorithm involves the movement of a colony of ants through the different stat
Research-on-Optimization-of-Speed-Identification.
- Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disad
ACO-knapsack
- Post codes, GA- Knapsak to help solve the ant colony algorithm using MATLAB
Software-Quality-Prediction-Using-Cuckoo-Search-O
- this work aims to investigate the quality of software products a n important attribute of computer programs it helps to decide the degree of trustworthiness a program has in accomplishing its specific functions. This done using the Software quality m
MatlabCode
- matlab code(ACO algorithm)