Optimizer key concepts: Airline Example

Analytica Optimizer GuideOptimizer key concepts: Airline Example

The Airline Non-Linear Program (NLP) Example demonstrates a set of key concepts that Analytica Optimizer modelers should be familiar with. Although it includes some topics that apply only to NLP models, each module includes content that is relevant to all optimization types.

Sections

• Concepts Covered in the Airline NLP Example
• NLP Characteristics
• Airline NLP Module 1: Base Case
• Using Parametric Analysis: Airline NLP Module 2
• Optimizing with Uncertainty
  • Module 3: Stochastic Optimization (FAST)
  • Module 4: Multiple Optimizations of Separate Samples (MOSS)
• Improving Computational Efficiency of NLPs
• Module 5: Time as an Extrinsic index
• Identifying the Source of an Extrinsic Index
• Module 6: Time as an Intrinsic Index
• Module 7: Embedding an NLP in a Dynamic Loop
• Controlling Engine Selection and Setting

Optimizing with ArraysOptimizer key concepts: Airline ExampleOptimizer Attribute Reference