Title :
Evolutionary algorithm sandbox: A web-based graphical user interface for evolutionary algorithms
Author :
Gardner, Brent G. ; Simon, Dan
Author_Institution :
Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA
Abstract :
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, biogeography-based 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.
Keywords :
evolutionary computation; genetic algorithms; graphical user interfaces; biography based optimisation; evolutionary algorithm; genetic algorithm; graphical user interface; opposition based learning; sandbox; Application software; Computational modeling; Computer simulation; Cybernetics; Evolutionary computation; Genetic algorithms; Graphical user interfaces; USA Councils; User interfaces; XML; biogeography-based optimization; evolutionary algorithm; genetic algorithm; graphical user interface; opposition-based learning;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346657