flaccogui: Exploratory Landscape Analysis for Everyone
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Finding the optimal solution for a given problem has always been an intriguing goal and a key for reaching this goal is sound knowledge of the problem at hand. In case of single-objective, continuous, global optimization problems, such knowledge can be gained by Exploratory Landscape Analysis (ELA), which computes features that quantify the problem's landscape prior to optimization. Due to the various backgrounds of researches that developed such features, there nowadays exist numerous implementations of feature sets across multiple programming languages, which is a blessing and burden at the same time.
The recently developed R-package flacco takes multiple of these feature sets (from the different packages and languages) and combines them within a single R-package. While this is very beneficial for R-users, users of other programming languages are left out. Within this paper, we introduce flaccogui, a graphical user interface that does not only make flacco more user-friendly, but due to a platform-independent web-application also allows researchers that are not familiar with R to perform ELA and benefit of the advantages of flacco.
Details
Original language | English |
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Title of host publication | GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion |
Pages | 1215–1222 |
Publication status | Published - 15 Jul 2017 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
Scopus | 85026864440 |
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