Results 211 to 220 of about 49,095 (250)
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Classification Rule Mining with an Improved Ant Colony Algorithm
2004This paper presents an improvement ant colony optimization algorithm for mining classification rule called ACO-Miner The goal of ACO-Miner is to effectively provide intelligible classification rules which have higher predictive accuracy and simpler rule list based on Ant-Miner Experiments on data sets from UCI data set repository were made to compare ...
Ziqiang Wang, Boqin Feng
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Review of application on improved ant colony algorithm
Applied and Computational Engineering, 2023A heuristic global optimization algorithm is the Ant colony algorithm, with several advantages, such as robustness, so the algorithm can be used in many fields of our daily life. This article briefly explains some of the principles of the basic ant colony algorithm, and a detailed analysis of the representative improved algorithm models, is carried out.
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An Adaptive Ant Colony Algorithm Improved and Simulation
Applied Mechanics and Materials, 2011Ant colony algorithm is a new evolutionary algorithm, Ant colony algorithm is widely used to solve combinatorial optimization problems, But the ant colony algorithm has slow convergence speed and prone to stagnation phenomenon. This paper presents an evolution strategy based on adaptive selection and dynamic adjustment to improve ant colony algorithm ...
Yue Shun He, Xiang Li
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Research on an Improved Ant Colony Algorithm Fusion with Genetic Algorithm for Route Planning
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020This article focuses on an improved ant colony algorithm for solving the problem of route planning. An ant colony algorithm (ACO) fusion with genetic algorithm (GA) is proposed and verified by simulations.
Xiaoyan Chen, Yuhe Dai
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Improved ant colony algorithms for data classification
2012 IEEE International Conference on Complex Systems (ICCS), 2012In this paper we propose an extension of classification algorithm based on ant colony algorithms to obtain rules from data. Continuous attributes are handled by using the concepts of fuzzy logic. The ant colony algorithms transform continuous attributes into nominal attributes by creating clenched discrete intervals.
Mohamed Hamlich, Mohammed Ramdani
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An improved ant colony algorithm in continuous optimization
Journal of Systems Science and Systems Engineering, 2003A modified ant colony algorithm for solving optimization problem with continuous parameters is presented. In the method, groups of candidate values of the components are constructed, and each value in the group has its trail information. In each iteration of the ant colony algorithm, the method first chooses initial values of the components using the ...
Ling Chen +3 more
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Application of Improved Ant Colony Algorithm in Path Planning
2019Aiming at the problem of path planning in topography, this paper studies the influence of relevant factors on speed and path planning, and proposes an intelligent algorithm for terrain path planning based on slope factor and ant colony algorithm. Firstly, the slope factors affecting walking speed are analyzed, then the terrain data are pretreated, and ...
Zhe Li, Ruilian Tan, Baoxiang Ren
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Improved Ant Colony Algorithm in Automatic Following Luggage
2020At present, many people, especially when going out to study, work, and travel, cannot do without suitcases. The luggage compartment can integrate some essential items into one space. If there is less luggage, it is more convenient to bring a suitcase out, but when there is more luggage and the suitcase is relatively large, it is a burden for the user ...
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An Improved Ant Colony Algorithm Applied in the TSP Problem
Applied Mechanics and Materials, 2012Ant colony algorithm is a kind of intelligent algorithm imitating the group behavior of ants. The positive feedback mechanism is not only its advantage which makes the ant colony algorithm quickly converge to optimal solutions of a problem, but also its defect which makes it easy to fall into the local optimal solutions.
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An Improved Ant Colony Optimization Algorithm for Improving Cloud Resource Utilization
2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2016In order to improve the cloud computing utilization, an Improved Ant Colony Optimization (IACO) is proposed. The proposed IACO algorithm improves pheromone factors and inspired factors innovatively based on the existent algorithms. Emulation tests are conducted in the CloudSim and the results indicate that IACO is superior to the conventional ACO and ...
Qingbin Nie, Pinghua Li
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