217:, 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.
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schemes into the optimization software, so that it becomes capable of learning from its previous runs and from human feedback. A related approach is that of
Programming by Optimization, which provides a direct way of defining design spaces involving Reactive Search Optimization, and of Autonomous
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The modeling components include neural networks, polynomials, locally weighted
Bayesian regression, k-means clustering, and self-organizing maps. A free academic license for non-commercial use and class use is available.
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LIONsolver originates from research principles in
Reactive Search Optimization advocating the use of self-tuning schemes acting while a software system is running.
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464:""Machine Learning Approach" to Smartphone Data Garners $ 10,000 First Prize in The Michael J. Fox Foundation Parkinson's Data Challenge"
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Version 2.0 of the software was released on Oct 1, 2011, covering also the Unix and Mac OS X operating systems in addition to
Windows.
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It is a tool for decision making based on data and quantitative model and it can be connected to most databases and external programs.
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LIONsolver is used to build models, visualize them, and improve business and engineering processes.
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Parkinson's Data
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Proceedings
Learning and Intelligent OptimizatioN LION 4, Jan 18-22, 2010, Venice, Italy.
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The software architecture of LIONsolver permits interactive
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business intelligence and intended for more advanced users.
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On Apr 24, 2013 LIONsolver received the first prize of the
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Search advocating adapting problem-solving algorithms.
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Battiti, Roberto; Mauro
Brunato; Franco Mascia (2008).
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approach. A non-profit version is also available as
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357:Youssef, Hamadi; E. Monfroy; F. Saubion (2012).
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429:Battiti, Roberto; Andrea Passerini (2010).
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198:refers to the integration of online
481:LIONsolver official non-profit site
511:Mathematical optimization software
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167:reactive business intelligence
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151:data mining
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248:References
147:LIONsolver
63:2011-10-09
31:LIONsolver
159:analytics
236:See also
190:Overview
184:Grapheur
163:modeling
86:Mac OS X
171:LIONoso
136:lionoso
131:Website
119:License
100:English
82:Windows
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.