GUIDE: Unifying Evolutionary Engines through a Graphical User Interface Export

@incollection{citeulike:6080234, abstract = {Many kinds of Evolutionary Algorithms (EAs) have been described in the literature since the last 30 years. However, though most of them share a common structure, no existing software package allows the user to actually shift from one model to another by simply changing a few parameters, e.g. in a single window of a Graphical User Interface. This paper presents GUIDE, a raphical ser nterface for REAM xperiments that, among other user-friendly features, unifies all kinds of EAs into a single panel, as far as evolution parameters are concerned. Such a window can be used either to ask for one of the well known ready-to-use algorithms, or to very easily explore new combinations that have not yet been studied. Another advantage of grouping all necessary elements to describe virtually all kinds of EAs is that it creates a fantastic pedagogic tool to teach EAs to students and newcomers to the field.}, author = {Collet, Pierre and Schoenauer, Marc}, citeulike-article-id = {6080234}, citeulike-linkout-0 = {http://www.springerlink.com/content/kq0ktx70h2xdp74r}, journal = {Artificial Evolution}, keywords = {2004, framework, genetic-algorithms, gui, optimization}, pages = {203--215}, posted-at = {2009-11-06 09:10:23}, priority = {2}, title = {GUIDE: Unifying Evolutionary Engines through a Graphical User Interface}, url = {http://www.springerlink.com/content/kq0ktx70h2xdp74r}, year = {2004} }

TY - CHAP ID - citeulike:6080234 L3 - citeulike-article-id:6080234 N2 - Many kinds of Evolutionary Algorithms (EAs) have been described in the literature since the last 30 years. However, though most of them share a common structure, no existing software package allows the user to actually shift from one model to another by simply changing a few parameters, e.g. in a single window of a Graphical User Interface. This paper presents GUIDE, a raphical ser nterface for REAM xperiments that, among other user-friendly features, unifies all kinds of EAs into a single panel, as far as evolution parameters are concerned. Such a window can be used either to ask for one of the well known ready-to-use algorithms, or to very easily explore new combinations that have not yet been studied. Another advantage of grouping all necessary elements to describe virtually all kinds of EAs is that it creates a fantastic pedagogic tool to teach EAs to students and newcomers to the field. JF - Artificial Evolution EP - 215 TI - GUIDE: Unifying Evolutionary Engines through a Graphical User Interface SP - 203 KW - 2004 KW - framework KW - genetic-algorithms KW - gui KW - optimization AU - Collet, Pierre AU - Schoenauer, Marc PY - 2004/// UR - http://www.springerlink.com/content/kq0ktx70h2xdp74r ER -