13.3.8.8 Ant Colony Optimization

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Ant Colony. See also Bayesian Learning, Bayes Network, Bayesian Networks.

Gámez, J.A.[José A.], Puerta, J.M.[José M.],
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization,
PRL(23), No. 1-3, January 2002, pp. 261-277.
Elsevier DOI 0201
BibRef

Yang, Y.[Yan], Kamel, M.S.[Mohamed S.],
An aggregated clustering approach using multi-ant colonies algorithms,
PR(39), No. 7, July 2006, pp. 1278-1289.
Elsevier DOI Ant algorithm; Multi-ant colonies; Clustering; Aggregated clustering 0606
BibRef

le Hegarat-Mascle, S., Kallel, A., Descombes, X.,
Ant Colony Optimization for Image Regularization Based on a Nonstationary Markov Modeling,
IP(16), No. 3, March 2007, pp. 865-878.
IEEE DOI 0703
BibRef

Ke, L.J.[Liang-Jun], Feng, Z.R.[Zu-Ren], Ren, Z.G.[Zhi-Gang],
An efficient ant colony optimization approach to attribute reduction in rough set theory,
PRL(29), No. 9, 1 July 2008, pp. 1351-1357.
Elsevier DOI 0711
Ant colony optimization; Attribute reduction; Feature selection; Rough set theory BibRef

Zhang, X.X.[Xiao-Xia], Tang, L.X.[Li-Xin],
A new hybrid ant colony optimization algorithm for the vehicle routing problem,
PRL(30), No. 9, 1 July 2009, pp. 848-855.
Elsevier DOI 0905
Scatter search; Ant colony optimization; Cyclic transfer; Hybrid ant colony optimization algorithm BibRef

Chen, Y.M.[Yu-Min], Miao, D.Q.[Duo-Qian], Wang, R.Z.[Rui-Zhi],
A rough set approach to feature selection based on ant colony optimization,
PRL(31), No. 3, 1 February 2010, pp. 226-233.
Elsevier DOI 1001
Rough sets; Ant colony optimization; Feature selection; Mutual information; Data mining BibRef

Cerello, P.[Piergiorgio], Cheran, S.C.[Sorin Christian], Bagnasco, S.[Stefano], Bellotti, R.[Roberto], Bolanos, L.[Lourdes], Catanzariti, E.[Ezio], de Nunzio, G.[Giorgio], Fantacci, M.E.[Maria Evelina], Fiorina, E.[Elisa], Gargano, G.[Gianfranco], Gemme, G.[Gianluca], Torres, E.L.[Ernesto Lopez], Masala, G.L.[Gian Luca], Peroni, C.[Cristiana], Santoro, M.[Matteo],
3-D object segmentation using ant colonies,
PR(43), No. 4, April 2010, pp. 1476-1490.
Elsevier DOI 1002
Artificial life; Ant colony; Image processing; 3-D object segmentation BibRef

Tian, J.[Jing], Yu, W.Y.[Wei-Yu], Ma, L.H.[Li-Hong],
AntShrink: Ant colony optimization for image shrinkage,
PRL(31), No. 13, 1 October 2010, pp. 1751-1758.
Elsevier DOI 1003
Image denoising; Ant colony optimization; Wavelet BibRef

Lalbakhsh, P.[Pooia], Zaeri, B.[Bahram], Lalbakhsh, A.[Ali],
An Improved Model of Ant Colony Optimization Using a Novel Pheromone Update Strategy,
IEICE(E96-D), No. 11, November 2013, pp. 2309-2318.
WWW Link. 1311
BibRef

Fernandes, C.M., Mora, A.M., Merelo, J.J., Rosa, A.C.,
KANTS: A Stigmergic Ant Algorithm for Cluster Analysis and Swarm Art,
Cyber(44), No. 6, June 2014, pp. 843-856.
IEEE DOI 1406
Algorithm design and analysis BibRef

Tabakhi, S.[Sina], Moradi, P.[Parham],
Relevance-redundancy feature selection based on ant colony optimization,
PR(48), No. 9, 2015, pp. 2798-2811.
Elsevier DOI 1506
Pattern recognition BibRef

Bose, A.[Ankita], Mali, K.[Kalyani],
Fuzzy-based artificial bee colony optimization for gray image segmentation,
SIViP(10), No. 6, June 2016, pp. 1089-1096.
WWW Link. 1608
BibRef

Wang, X., Choi, T.M., Liu, H., Yue, X.,
Novel Ant Colony Optimization Methods for Simplifying Solution Construction in Vehicle Routing Problems,
ITS(17), No. 11, November 2016, pp. 3132-3141.
IEEE DOI 1609
Algorithm design and analysis BibRef

Banharnsakun, A.[Anan],
A MapReduce-based artificial bee colony for large-scale data clustering,
PRL(93), No. 1, 2017, pp. 78-84.
Elsevier DOI 1706
Artificial, Bee, Colony, (ABC) BibRef

Yang, L.[Lina], Sun, X.[Xu], Zhu, A.[Axing], Chi, T.[Tianhe],
A Multiple Ant Colony Optimization Algorithm for Indoor Room Optimal Spatial Allocation,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Yang, L.[Lina], Zhu, A.[Axing], Shao, J.[Jing], Chi, T.[Tianhe],
A Knowledge-Informed and Pareto-Based Artificial Bee Colony Optimization Algorithm for Multi-Objective Land-Use Allocation,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Shen, C.[Chong], Wang, D.[Ding], Tang, S.M.[Shu-Ming], Cao, H.[Huiliang], Liu, J.[Jun],
Hybrid image noise reduction algorithm based on genetic ant colony and PCNN,
VC(33), No. 11, November 2017, pp. 1373-1384.
WWW Link. 1710
BibRef

Huo, F.C.[Feng-Cai], Liu, Y.[Yang], Wang, D.[Di], Sun, B.X.[Bao-Xiang],
Bloch quantum artificial bee colony algorithm and its application in image threshold segmentation,
SIViP(11), No. 8, November 2017, pp. 1585-1592.
WWW Link. 1710
BibRef

Gong, Y.J., Chen, E., Zhang, X., Ni, L.M., Zhang, J.,
AntMapper: An Ant Colony-Based Map Matching Approach for Trajectory-Based Applications,
ITS(19), No. 2, February 2018, pp. 390-401.
IEEE DOI 1802
Algorithm design and analysis, Data models, Global Positioning System, Heuristic algorithms, road network BibRef

Juang, C.F., Yeh, Y.T.,
Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks,
Cyber(48), No. 6, June 2018, pp. 1910-1922.
IEEE DOI 1805
Algorithm design and analysis, Genetic algorithms, Hip, Legged locomotion, Optimization, Recurrent neural networks, recurrent neural networks (RNNs) BibRef

Dong, X.[Xueshi], Dong, W.Y.[Wen-Yong], Cai, Y.[Yongle],
Ant colony optimisation for coloured travelling salesman problem by multi-task learning,
IET-ITS(12), No. 8, October 2018, pp. 774-782.
DOI Link 1809
BibRef


Karouani, Y., Elhoussaine, Z.,
Efficient spark-based framework for solving the traveling salesman problem using a distributed swarm intelligence method,
ISCV18(1-6)
IEEE DOI 1807
ant colony optimisation, data handling, parallel processing, road safety, road traffic, swarm intelligence, TSP BibRef

Duhart, B.[Bronson], Camarena, F.[Fernando], Ortiz-Bayliss, J.C.[José Carlos], Amaya, I.[Ivan], Terashima-Marín, H.[Hugo],
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem,
MCPR18(62-71).
Springer DOI 1807
BibRef

Younes, H., Bouattane, O., Youssfi, M., Illoussamen, E.,
New load balancing framework based on mobile AGENT and ant-colony optimization technique,
ISCV17(1-6)
IEEE DOI 1710
scheduling, storage management, ant-colony optimization approach, distributed tasks, intensive computation domain, strong processing power, tasks scheduling, worker agents, Computational modeling, Heuristic algorithms, Load management, BibRef

Lakkah, S.E., Alimam, M.A., Seghiouer, H.,
Adaptive e-learning system based on learning style and ant colony optimization,
ISCV17(1-5)
IEEE DOI 1710
educational courses, multi-agent systems, adaptive e-learning system, adaptive learning object, artificial agents, courses, ontologies, Adaptation models, Learning systems, Ontologies, Visualization, Learning style, Ontology, Personalization, Semantic Web, e-Learning BibRef

Benhala, B., Bouyghf, H., Lachhab, A., Bouchikhi, B.,
Optimal design of second generation current conveyors by the Artificial Bee Colony technique,
ISCV15(1-5)
IEEE DOI 1506
SPICE BibRef

Calvo, H.[Hiram], Godoy-Calderon, S.[Salvador], Moreno-Armendáriz, M.A.[Marco A.], Martínez-Hernández, V.M.[Victor Manuel],
Patrolling Routes Optimization Using Ant Colonies,
MCPR15(302-312).
Springer DOI 1506
BibRef

Yu, M., Chen, D.W., Dai, C.Y., Li, Z.L.,
Study on Increasing the Accuracy of Classification Based on Ant Colony algorithm,
ISSDQ13(179-184).
HTML Version. 1311
BibRef

Davoodianidaliki, M., Abedini, A., Shankayi, M.,
Adaptive Edge Detection Using Adjusted Ant Colony Optimization,
SMPR13(123-126).
HTML Version. 1311
BibRef

Tepper, M.[Mariano], Sapiro, G.[Guillermo],
Ants Crawling to Discover the Community Structure in Networks,
CIARP13(II:552-559).
Springer DOI 1311
BibRef

Piatrik, T.[Tomas], Izquierdo, E.[Ebroul],
Subspace clustering of images using Ant colony Optimisation,
ICIP09(229-232).
IEEE DOI 0911
BibRef

Zhou, S.[Shuang], Zhang, J.P.[Jun-Ping], Su, B.K.[Bao-Ku],
Feature Selection and Classification Based on Ant Colony Algorithm for Hyperspectral Remote Sensing Images,
CISP09(1-4).
IEEE DOI 0910
BibRef

Zhang, H.[Hannv], Huang, F.[Fang], Guo, J.C.[Jia-Chen], Liu, M.[Min],
Automatic Classification of Remote Sensing Image Using Ant Colony Clustering Algorithm,
CISP09(1-4).
IEEE DOI 0910
BibRef

Puris, A.[Amilkar], Bello, R.[Rafael], Trujillo, Y.[Yaima], Nowe, A.[Ann], Martínez, Y.[Yailen],
Two-Stage ACO to Solve the Job Shop Scheduling Problem,
CIARP07(447-456).
Springer DOI 0711
BibRef

Bello, R.[Rafael], Puris, A.[Amilkar], Nowe, A.[Ann], Martínez, Y.[Yailen], García, M.M.[María M.],
Two Step Ant Colony System to Solve the Feature Selection Problem,
CIARP06(588-596).
Springer DOI 0611
BibRef

Saatchi, S.[Sara], Hung, C.C.[Chih Cheng],
Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering,
SCIA05(511-520).
Springer DOI 0506
BibRef

Yan, Z.[Zhong], Yuan, C.[Chunwei],
Ant Colony Optimization for Feature Selection in Face Recognition,
ICBA04(221-226).
Springer DOI 0505
BibRef

Meshoul, S., Batouche, M.,
Ant colony system with external dynamics for point matching and pose estimation,
ICPR02(III: 823-826).
IEEE DOI 0211
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Bayesian Networks, Bayes Nets .


Last update:Nov 17, 2018 at 09:12:27