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= Welcome to '''OpenOpal ''' =
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= Welcome to '''OpenDino''' =
  
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'''OpenOpal ''' is an '''Open''' Source software environment for '''OP'''timization '''A'''nd '''L'''earning, providing algorithms for automatic optimization, Design of Experiment, and Machine Learning.
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'''OpenDino ''' is an open source platform for automated optimization, design of experiment and learning, written in Java.  
  
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The software consists of a '''Core''', a Graphical User Interface ('''GUI''') and '''Module'''s. The Modules comprise all functionality such as optimization algorithm and interfaces to the problem to be optimized.
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The source code as well as as an executable can be found on [http://sourceforge.net/projects/opendino/ sourceforge]. The source code is structured in 3 layers: A core providing the basic backbone, Modules containing all algorithms, and a graphical user interface (GUI). This simplifies the integration of new algorithms as they are represented by additional "Modules".
  
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OpenOpal is written in Java.
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Implemented Modules
  
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To get into the project:
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* Evolutionary optimization algorithms (CMA-ES, (1+1)-ES, Swarm Algorithms)
  
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* check the [[Screenshots | Screenshots]] to get an idea about the basic interaction with the software
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* Deterministic optimization algorithm (SIMPLEX)
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* then, check the [[Documentation | Documentation]].
 
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* or simply [[Download | Download]] the executable jar (no compilation necessary).
 
  
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* Learning (feed-forward Artificial Neural Net)
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* Design of Experiments (full factorial design, Latin Hypercube, I-Optimal Design)
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* Problems (test functions, interface to external programs (solvers), distributed and parallel execution)
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* Other modules (data storage and visualization)
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Source Code
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* http://sourceforge.net/projects/opendino/
  
 
Contact:  
 
Contact:  
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* [mailto:help@openopal.org help@openopal.org]
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* [mailto:help@opendino.org help@opendino.org]

Aktuelle Version vom 18. Februar 2016, 21:28 Uhr

Welcome to OpenDino

OpenDino is an open source platform for automated optimization, design of experiment and learning, written in Java.

The source code as well as as an executable can be found on sourceforge. The source code is structured in 3 layers: A core providing the basic backbone, Modules containing all algorithms, and a graphical user interface (GUI). This simplifies the integration of new algorithms as they are represented by additional "Modules".

Implemented Modules

  • Evolutionary optimization algorithms (CMA-ES, (1+1)-ES, Swarm Algorithms)
  • Deterministic optimization algorithm (SIMPLEX)
  • Learning (feed-forward Artificial Neural Net)
  • Design of Experiments (full factorial design, Latin Hypercube, I-Optimal Design)
  • Problems (test functions, interface to external programs (solvers), distributed and parallel execution)
  • Other modules (data storage and visualization)

Source Code

Contact:

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