Grapheur
A screenshot of Grapheur running | |
Developer(s) | Reactive Search srl |
---|---|
Stable release | 2.0.165 / October 10, 2011 |
Operating system | Windows , Mac OS X, Unix |
Available in | English |
Type | Technical computing |
License | Proprietary software |
Website | http://grapheur.com/ |
Grapheur is a data mining, modeling and interactive visualization package implementing the reactive business intelligence approach.[1]
Overview
Grapheur originates from research principles in Reactive Search Optimization[2][3] advocating the use of self-tuning schemes acting while a software system is running.
Version 2.0 of the software was released on Sep 1, 2011, covering also the Unix and Mac OS X operating systems in addition to Windows. With version 2.0, Grapheur is dedicated to business intelligence and Interactive visualization, while the modeling and optimization tools become part of a software package called LIONsolver 2.0.
The software architecture of LIONsolver[4] permits interactive multi-objective optimization, with a user interface for visualizing the results and facilitating the solution analysis and decision making process. The architecture allows for problem-specific extensions, and it is applicable as a post-processing tool for all optimization schemes with a number of different potential solutions. When the architecture is tightly coupled to a specific problem-solving or optimization method, effective interactive schemes where the final decision maker is in the loop can be developed.[5]
See also
References
- ↑ Roberto Battiti and Mauro Brunato, Reactive Business Intelligence. From Data to Models to Insight, Reactive Search Srl, Italy, February 2011. ISBN 978-88-905795-0-9.
- ↑ Battiti, Roberto; Gianpietro Tecchiolli (1994). "The reactive tabu search." (PDF). ORSA Journal on Computing 6 (2): 126–140
- ↑ Battiti, Roberto; Mauro Brunato; Franco Mascia (2008). Reactive Search and Intelligent Optimization. Springer Verlag. ISBN 978-0-387-09623-0.
- ↑ Battiti, Roberto; Mauro Brunato (2010). "Grapheur: A Software Architecture for Reactive and Interactive Optimization ." [Proceedings Learning and Intelligent OptimizatioN LION 4, Jan 18-22, 2010, Venice, Italy.] (PDF). Lecture Notes in Computer Science 6073: 232–246. doi:10.1007/978-3-642-13800-3
- ↑ Battiti, Roberto; Andrea Passerini (2010). "Brain-Computer Evolutionary Multi-Objective Optimization (BC-EMO): a genetic algorithm adapting to the decision maker." (PDF). IEEE Transactions on Evolutionary Computation 14 (15): 671–687. doi:10.1109/TEVC.2010.2058118