Results 31 to 40 of about 61,825 (273)
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
, 2015 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.
Abdelbar, Ashraf M. +2 more
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Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]
, 2013 Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B., Salama, Khalid M.
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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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A Framework of Ant Colony P System
IEEE Access, 2019 Ant colony algorithm is a swarm intelligence population-based algorithm, which is inspired from the foraging behavior of ant colonies. Nowadays, the ant colony algorithm has become a very popular topic, and has been widely used in many fields.
Yueguo Luo, Ping Guo, Mingzhe Zhang
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Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm
Complexity, 2020 This paper is aimed at the problems of low accuracy, long recognition time, and low recognition efficiency in English speech recognition. In order to improve the accuracy and efficiency of English speech recognition, an improved ant colony algorithm is ...
Lu Jing
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Dynamic Path Planning Based on Improved Ant Colony Algorithm in Traffic Congestion
IEEE Access, 2020 Congestion road condition is an important factor that must be considered in urban traffic path planning, while most path planning algorithms only consider the distance factor, which is not suitable for the current complex urban traffic congestion road ...
Chunjiang Wu, Shijie Zhou, Licai Xiao
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A grid-based ant colony algorithm for automatic 3D hose routing [PDF]
Ant Colony Algorithms applied to difficult combinatorial optimization problems such as the traveling salesman problem (TSP) and the quadratic assignment problem.
Fernando, WAC +2 more
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Research on UAV route planning based on adaptive polymorphic ant colony algorithm
Journal of Hebei University of Science and Technology, 2019 Aiming at the problem of traditional UAV trajectory planning which falls into local optimum easily, and the problem of UAV trajectory planning in complex terrain, a trajectory planning method based on adaptive polymorphic fusion ant colony algorithm is ...
Ran ZHEN +3 more
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, 2011 The first ant colony optimization (ACO) called ant system was inspired through studying of the behavior of ants in 1991 by Macro Dorigo and co-workers [1]. An ant colony is highly organized, in which one interacting with others through pheromone in perfect harmony. Optimization problems can be solved through simulating ant’s behaviors.
Chen, Enxiu, Liu, Xiyu
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Continuous function optimization using hybrid ant colony approach with orthogonal design scheme [PDF]
, 2006 A hybrid Orthogonal Scheme Ant Colony Optimization (OSACO) algorithm for continuous function optimization (CFO) is presented in this paper. The methodology integrates the advantages of Ant Colony Optimization (ACO) and Orthogonal Design Scheme (ODS ...
A.S. Hedayat +10 more
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