An intelligent method to discover transition rules for cellular automata using bee colony optimisation
暂无分享,去创建一个
Rui Zhu | Min Cao | Guoan Tang | Jianyi Yang | Min Cao | G. Tang | Jianyi Yang | Rui Zhu
[1] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[2] W. Hargrove,et al. Simulating fire patterns in heterogeneous landscapes , 2000 .
[3] Ali Sarosh,et al. Simulated annealing based artificial bee colony algorithm for global numerical optimization , 2012, Appl. Math. Comput..
[4] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[5] Fulong Wu,et al. SimLand: A Prototype to Simulate Land Conversion Through the Integrated GIS and CA with AHP-Derived Transition Rules , 1998, Int. J. Geogr. Inf. Sci..
[6] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[7] K. Clarke,et al. A Cellular Automaton Model of Wildfire Propagation and Extinction , 1994 .
[8] D. Karaboga,et al. Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks , 2007, 2007 IEEE 15th Signal Processing and Communications Applications.
[9] Lin Liu,et al. A bottom‐up approach to discover transition rules of cellular automata using ant intelligence , 2008, Int. J. Geogr. Inf. Sci..
[10] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[11] Robert Gilmore Pontius,et al. Comparison of the structure and accuracy of two land change models , 2005, Int. J. Geogr. Inf. Sci..
[12] Alan T. Murray,et al. A stochastically constrained cellular model of urban growth , 2000 .
[13] Keith C. Clarke,et al. A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .
[14] N. Karaboga,et al. Genetic Algorithm Based Adaptive System Identification , 2007, 2007 IEEE 15th Signal Processing and Communications Applications.
[15] Xin Yang,et al. A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata , 2012 .
[16] Dervis Karaboga,et al. A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.
[17] Fulong Wu,et al. Calibration of stochastic cellular automata: the application to rural-urban land conversions , 2002, Int. J. Geogr. Inf. Sci..
[18] Xia Li,et al. Errors and uncertainties in urban cellular automata , 2006, Comput. Environ. Urban Syst..
[19] Li Xia. Retrieving CA Nonlinear Transition Rule from High-dimensional Feature Space , 2006 .
[20] T. Seeley. The Wisdom of the Hive: The Social Physiology of Honey Bee Colonies , 1995 .
[21] Hai-Bin Duan,et al. A Hybrid Artificial Bee Colony Optimization and Quantum Evolutionary Algorithm for Continuous Optimization Problems , 2010, Int. J. Neural Syst..
[22] Keith C. Clarke,et al. Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore , 1998, Int. J. Geogr. Inf. Sci..
[23] Roger White,et al. Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns , 1993 .
[24] Anthony Gar-On Yeh,et al. Neural-network-based cellular automata for simulating multiple land use changes using GIS , 2002, Int. J. Geogr. Inf. Sci..
[25] Roger White,et al. The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .
[26] Helen Couclelis,et al. Macrostructure and Microbehavior in a Metropolitan Area , 1989 .
[27] Xia Li,et al. Modelling sustainable urban development by the integration of constrained cellular automata and GIS , 2000, Int. J. Geogr. Inf. Sci..
[28] B. Soares-Filho,et al. dinamica—a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier , 2002 .
[29] F. Wu,et al. Simulation of Land Development through the Integration of Cellular Automata and Multicriteria Evaluation , 1998 .
[30] Yeqiao Wang,et al. A dynamic modeling approach to simulating socioeconomic effects on landscape changes , 2001 .
[31] Dervis Karaboga,et al. Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.
[32] Dervis Karaboga,et al. Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks , 2007, MDAI.
[33] Michael Batty,et al. From Cells to Cities , 1994 .
[34] Mohd Afizi Mohd Shukran,et al. Artificial bee colony based data mining algorithms for classification tasks , 2011 .
[35] Nurhan Karaboga,et al. A new design method based on artificial bee colony algorithm for digital IIR filters , 2009, J. Frankl. Inst..
[36] Helen Couclelis,et al. Cellular Worlds: A Framework for Modeling Micro—Macro Dynamics , 1985 .
[37] Helen Couclelis,et al. From Cellular Automata to Urban Models: New Principles for Model Development and Implementation , 1997 .
[38] Helen Couclelis,et al. Of Mice and Men: What Rodent Populations Can Teach Us about Complex Spatial Dynamics , 1988 .
[39] G. D. Jenerette,et al. © 2001 Kluwer Academic Publishers. Printed in the Netherlands. Research Article Analysis and simulation of land-use change in the central Arizona – , 2022 .
[40] Xia Li,et al. Data mining of cellular automata's transition rules , 2004, Int. J. Geogr. Inf. Sci..