Results 31 to 40 of about 20,504 (267)
A New Version of the Ant-Miner Algorithm Discovering Unordered Rule Sets [PDF]
, 2006 The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered list of classification rules.
James Smaldon +3 more
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Optimization of Computer Network Energy Efficient Routing Based on Improved Ant Algorithm
Chemical Engineering Transactions, 2016 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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Double Ant Colony Algorithm Based on Collaborative Mechanism and Dynamic Regulation Strategy
Jisuanji kexue yu tansuo, 2021 Aiming at the problem that the ant colony algorithm has slow convergence rate and poor diversity in solving traveling salesman problem (TSP), double ant colony algorithm based on collaborative mechanism and dynamic regulation strategy is proposed ...
MENG Jingwen, YOU Xiaoming, LIU Sheng
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A Novel Energy-Saving Route Planning Algorithm for Marine Vehicles
Applied Sciences, 2022 Recently, the ship energy consumption issue has been in the spotlight. Meanwhile, new conventions and standards of ship energy conservation as well as ship emission reduction have been continuously introduced by the International Maritime Organization ...
Ying Ding +4 more
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Monotonicity in Ant Colony Classification Algorithms [PDF]
, 2016 Classification algorithms generally do not use existing domain knowledge during model construction. The creation of models that conflict with existing knowledge can reduce model acceptance, as users have to trust the models they use. Domain knowledge can be integrated into algorithms using semantic constraints to guide model construction.
James Brookhouse, Fernando E. B. Otero
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Flexible protein folding by ant colony optimization [PDF]
, 2008 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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Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B. +3 more
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cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes [PDF]
, 2008 This paper presents an extension to Ant-Miner, named cAnt-Miner (Ant-Miner coping with continuous attributes), which incorporates an entropy-based discretization method in order to cope with continuous attributes during the rule construction process.
Otero, Fernando E.B. +5 more
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Application of an Improved Ant Colony Algorithm in TSP Problem Solving
Chemical Engineering Transactions, 2016 Ant Colony Algorithm (ACA) is a kind of heuristic search algorithm based on population search. As a new bionic algorithm, ACA has attracted a lot of experts and scholars' attention. And they deduct many different improved versions.
W.D. Ren, W.X. Sun
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The Scientific World Journal, 2014 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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