TY - GEN
T1 - Evolutionary Algorithm Sandbox: A Web-Based Graphical User Interface for Evolutionary Algorithms
AU - Gardner, Brent G.
AU - Simon, Daniel J.
N1 - B. Gardner and D. Simon. (2009). Evolutionary Algorithm Sandbox: A Web-Based Graphical User Interface for Evolutionary Algorithms. IEEE International Conference on Systems, Man, and Cybernetics, 583-588, doi: 10.1109/ICSMC.2009.5346657
PY - 2009/10/1
Y1 - 2009/10/1
N2 - The Evolutionary Algorithm (EA) Sandbox is an Adobe® Flex®-based graphical user interface (GUI) that provides a visual demonstration of evolutionary algorithm simulations. It allows the user to select EA parameters and algorithms (such as a basic genetic algorithm, biogeographybased optimization, and opposition-based learning), run a simulation, and view the results after each generation. The EA Sandbox is meant to be a learning tool and starting point for users, giving them the ability to examine how different parameters and algorithms perform for a number of common benchmark functions. The EA Sandbox can also be easily extended to incorporate more algorithms and problem functions.
AB - The Evolutionary Algorithm (EA) Sandbox is an Adobe® Flex®-based graphical user interface (GUI) that provides a visual demonstration of evolutionary algorithm simulations. It allows the user to select EA parameters and algorithms (such as a basic genetic algorithm, biogeographybased optimization, and opposition-based learning), run a simulation, and view the results after each generation. The EA Sandbox is meant to be a learning tool and starting point for users, giving them the ability to examine how different parameters and algorithms perform for a number of common benchmark functions. The EA Sandbox can also be easily extended to incorporate more algorithms and problem functions.
KW - Graphical user interface
KW - Evolutionary algorithm
KW - Genetic algorithm
KW - Biogeography-based optimization
KW - Opposition-based learning
UR - https://engagedscholarship.csuohio.edu/enece_facpub/172
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5346657
U2 - 10.1109/ICSMC.2009.5346657
DO - 10.1109/ICSMC.2009.5346657
M3 - Other contribution
ER -