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1. Most optimization problems can be solved in a declarative manner using a high-level modeling language.
2. Recent advances in open source optimization platforms allow the solution process to be mostly solver-independent.
3. By leveraging the library of standard/global constraints, optimization models can be rapidly developed.
4. By developing a focused set of platform components, we can realize a policy-driven, declarative system that allows ONAP optimization applications be composed rapidly and managed easily
   
   1. Policy and data adapters
   2. Execution and management environment
   3. Curated "knowledge base" and recipes to provide information on typical optimization examples and how to use the OOF 
5. More importantly, by providing a way to support both "traditional" optimization applications and model-driven applications, we can provide a choice for users to adapt the platform based on their business needs and skills/expertise.

Project Landing Page:  

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Optimization Framework Project

Project Meeting Minutes: 

OOF Meeting Minutes

Leadership Resources :

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• How long the project has been an active:  TSC approval date: June 23, 2017
• Release Participation:  Release R2 R3 through Release R6
• Engagement levels for past releases (up to 3): 
  • Commits per Release:  
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  • Companies per release: 
• Use Cases:  

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