Title
EvoShelf: a system for managing and exploring evolutionary data
Abstract
Systems that utilize evolutionary computation produce large amounts of data. Quite often, this data has a convenient visual representation. However, managing and visualizing evolutionary data can be a difficult and onerous task. By employing techniques used in photo management software, we have produced a system that helps to organize and visualize evolutionary data while retaining a complete record of a simulation. By means of a simple plugin architecture this system can be extended to import data produced by arbitrary evolutionary systems. We present the system's architecture, its features, and we provide a comprehensive example, highlighting its advantages in applied research.
Year
DOI
Venue
2010
10.1007/978-3-642-15871-1_32
PPSN (2)
Keywords
Field
DocType
convenient visual representation,evolutionary data,complete record,simple plugin architecture,evolutionary computation,large amount,arbitrary evolutionary system,applied research,onerous task,comprehensive example,evolutionary computing
Interactive evolutionary computation,Architecture,Human-based evolutionary computation,Computer science,Evolutionary computation,Software,Artificial intelligence,Plug-in,Applied research,Evolutionary music,Machine learning
Conference
Volume
ISSN
ISBN
6239
0302-9743
3-642-15870-6
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Timothy Davison1143.47
Sebastian Von Mammen212624.68
Christian Jacob321133.00