Results 251 to 260 of about 20,562 (272)

Review on the Improvement and Application of Ant Colony Algorithm

2020
The ant colony optimization algorithm is an approximation algorithm and it is also a probabilistic algorithm for finding optimized paths. Many combinatorial optimization problems have been solved by the ant colony optimization algorithm. Firstly, the basic principles of ant colony algorithm are first introduced by this reference.
Dongping Qiao, Wentong Bai, Kanghong Wang, Yajing Wang   +3 more
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A Study of Concurrency in the Ant Colony System Algorithm

2006 IEEE International Conference on Evolutionary Computation, 2006
This paper reports the results of a study of a specific type of concurrency in the ant colony system (ACS) algorithm. Studies of cellular automata (CA) have shown that the update mechanism used can have a dramatic influence on the dynamics of the CA. ACS is usually implemented with a sequential update mechanism.
Enda Ridge, Daniel Kudenko, Dimitar Kazakov   +2 more
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Continuous Ant Colony Algorithm

Advanced Materials Research, 2011
Ant Colony Algorithm is a new bionics optimization algorithm from mimic the swarm intelligence of ant colony behavior. And it is a very good combination optimization method. To extend the ant colony algorithm, and to improve the searching performance, from the connections of continuous optimization and searching process of ant colony algorithm, one new
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Data reduction for classification with ant colony algorithms

Intelligent Data Analysis, 2016
In the field of data mining, classification is a supervised learning task whose purpose is to induce models (classifiers), using a set of labeled training data instances, to predict the class of new unlabeled instances. Data preparation is crucial to the data mining process, and its aim is to improve the fitness of the training data to allow learning ...
Khalid M. Salama, Ashraf M. Abdelbar, Ismail M. Anwar   +2 more
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Data Mining with Ant Colony Algorithms

2013
The Ant-Miner algorithm, Ant-Miner2, Ant-Miner3 and Taco-Miner have an excellent performance in classification tasks, what can be seen in literature. These algorithms are inspired on the behavior of real ant colonies and some data mining concepts as well as principles.
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Research on TSP based on ant colony algorithm

2015 IEEE International Conference on Information and Automation, 2015
This paper solves the TSP (Travel Salesman Problem) problem using the improved ant colony algorithm, and discusses the influence of several key parameters of ant colony algorithm on the performance of the algorithm. Meanwhile computer simulation is carried out on a large number of data using MATLAB, and the regulation of setting parameters is found by ...
Hengliang Shi, Lintao Zheng, Gang Liu
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Greybox Fuzzing Based on Ant Colony Algorithm

2020
Greybox fuzzing technology is a kind of fuzzing technology that is commonly used now and effective. This fuzzing technology can guide the direction of fuzzing by acquiring the execution information of some paths in the program. However, the gray box fuzzy testing technology commonly used in the market today evaluates the seed of a sample by its path ...
Bowen Sun, Bo Wang, Baojiang Cui, Yeqi Fu   +3 more
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Implementation of Ant Colony Algorithm Based on GPU

2009 Sixth International Conference on Computer Graphics, Imaging and Visualization, 2009
Ant colony algorithm is an efficient intelligent algorithm to solve NP hard problem. This paper presents a parallel computing solution based on General Purpose GPU (GPGPU) to solve Traveling Salesman Problem (TSP) with Max-Min Ant System (MMAS). The experimental result shows it is more efficient than pure CPU computing.
Jiening Wang, Jiankang Dong, Chunfeng Zhang   +2 more
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Ant Colony Algorithms and Logistics Distribution Solutions

2012
First, the article briefly introduces the ant colony algorithm, and then focuses on the use it to solve the VRP (vehicle routing problem) and its application. Next, we analyzed the data structure and the characteristics of the actual logistics program. Finally, this article details the multi-parameter multi-objective algorithm and program design.
Zhang, Jianhua, Zhang, Zhe
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A Novel Clustering Algorithm with Ant Colony Optimization

2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
Clustering analysis is an important area of data mining. A kind of new clustering algorithm with ant colony optimization based on cluster center initialization is proposed in this paper. The new algorithm gives initialized cluster centers by different methods, then solves clustering problems by iterated method.
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