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ACO(2)
- Ant Colony Optimization
aco_continue
- aco解决连续范围内优化问题的相关论文，参考价值较高-aco solve optimization problems for the scope of the relevant papers, a higher reference value
Marco-Dorigo-ACO.pdf
- Ant Colony Optimization Author: Marco Dorigo, Mauro Birattari, and Thomas Stützle Universite Libre de Bruxelles, BELGIUM
Final-report
- Brief Explanation of all important Ant Colony Optimization(ACO) methods on Travelling Salesman Problem(TSP).
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.
HWO_ACO
- A new kind of ant colony optimization (ACO) algorithm is proposed that is suitable for an implementation in hardware.
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
Edge-Detection-and-Optimization-Algorithm-for-ima
- This paper presents the implementation of ACO for 2-d images and its results.
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
ACO
- Ant Colony Optimization Matlab files
ACO
- Continuous Ant Colony Optimization in MATLAB
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
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
ACO算法
- 蚁群优化算法，可用于解决一人旅行商等问题。(Ant colony optimization algorithm can be used for TSP and other issues)
ACO
- Ant Colony Optimization book
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an