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Ant Colony Algorithms for Data Classification
2009Ant colony optimization (ACO) is a relatively new computational intelligence paradigm inspired by the behavior of natural ants (Dorigo & Stutzle, 2004). Ants often find the shortest path between a food source and the nest of the colony without using visual information.
Alex A. Freitas +2 more
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Application of Improved Ant Colony Algorithm
2008 Fourth International Conference on Natural Computation, 2008A stochastic optimization algorithm is proposed by combining ant colony (ACO) algorithm with artificial fish-swarm algorithm (AFSA) for solving continuous space optimization problems. The algorithm is improved with the rapid search capability of AFSA and the good search characteristics of ACO, and the convergence speed of the presented algorithm is ...
Hongyan Shi, Zhaoyu Bei
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An Improved Chaotic Ant Colony Algorithm
2012Ant colony algorithm is a rising intelligent algorithm in recent years, which performs well in solving large-scale combinatorial optimization problem. On the basis of analyzing the advantages and disadvantages of ant colony algorithm, to solve the shortage of the basic ant colony algorithm, we present a chaotic ant swarm algorithm with strategy of ...
Hongru Li, Shuzhuo Wang, Mengfan Ji
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Ant Colony Algorithms for Steiner Trees
2005This chapter introduces ant colony optimization as a method for computing minimum Steiner trees in graphs. Tree computation is achieved when multiple ants, starting out from different nodes in the graph, move towards one another and ultimately merge into a single entity.
Gurdip Singh +3 more
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An Improved Ant Colony Clustering Algorithm
2012In order to achieve cluster analysis with high-dimensional and unknown number of cluster, presents an improved ant based clustering algorithm. The improved algorithm improves four strategies for basic ant clustering algorithm, the strategy of ants pick up the object, lay down the object and the change definition of distance between data object, and ...
Weian Tao +5 more
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Convergence Analysis for Ant Colony Algorithm
2015 8th International Symposium on Computational Intelligence and Design (ISCID), 2015A general method for combinatorial optimization problems heuristically by the Ant System approach is proposed. According to the two different conditions, some convergence analysis for Ant Colony System (ACS) are obtained. The global searching and convergence ability are improved by adaptively changing the lower pheromone bound.
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Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm
Computers and Industrial Engineering, 2021Yuanyuan Wu
exaly
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network
ISPRS Journal of Photogrammetry and Remote Sensing, 2022Qingyang Wang, Guoqing Zhou
exaly
Data Mining with Ant Colony Algorithms
2013The 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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