Results 31 to 40 of about 21,443 (267)
Dynamic ant colony algorithm based on cw saving Value
As a swarm intelligence optimization algorithm, ant colony algorithm (ACO) has a good application in combinatorial optimization problems, in which traveling salesman problem (TSP) is an important application of ACO algorithm.
Yao Jiang-Gu, Gao Jian
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Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in pharmacy automation system.
Hui Jin +4 more
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Inducing decision trees with an ant colony optimization algorithm [PDF]
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
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Ant colony optimization algorithm for continuous domains is a major research direction for ant colony optimization algorithm. In this paper, we propose a distribution model of ant colony foraging, through analysis of the relationship between the position
Liqiang Liu, Yuntao Dai, Jinyu Gao
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Optimization of Computer Network Energy Efficient Routing Based on Improved Ant Algorithm
Computer network route optimization has been a subject of more attention in the art. This article routing optimization issues in-depth study of the ant colony algorithm to solve distributed parallelism, and propose measures for improvement ant colony ...
H.Y. Zhang, Q.H. Liu
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Aiming at the problems of traditional ant colony algorithm in solving traveling salesman problem (TSP), such as slow convergence speed and easy to fall into local optimum, an ant colony optimization algorithm (RCACO) based on dynamic recombination and ...
LIU Yifan, YOU Xiaoming, LIU Sheng
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Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B. +5 more
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Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]
The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Vasile, M. +3 more
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An ant colony genetic fusion routing algorithm based on soft define network
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
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Flexible protein folding by ant colony optimization [PDF]
Protein structure prediction is one of the most challenging topics in bioinformatics. As the protein structure is found to be closely related to its functions, predicting the folding structure of a protein to judge its functions is meaningful to the ...
Hu, X., Li, Y., Zhang, J.
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