Explanation

Explanations are understanding-oriented and are meant to help users understand how different aspects of the framework function.

Core-logic

• The problem format: Learn about how multiobjective optimization problems are modeled in DESDEO
• Parsing and evaluation: Learn how the problem models are parsed and evaluated in DESDEO
• Scalarization: Learn how problems are scalarized in DESDEO
• Scalarization methods: Learn about how scalarization methods are used in DESDEO
• Simulator support: Learn about simulator files and how to form them
• Solvers: Learn how DESDEO can be used to interface to different optimizers
• Test problems: Learn about different test problems implemented in DESDEO
• Evolutionary Algorithms in DESDEO: Learn about the implementation of evolutionary algorithms in DESDEO
• Pydantic Interface for Evolutionary Algorithms: Learn about the Pydantic interface that acts as a configuration/abstraction layer for the EA components and templates in DESDEO

Web-API

• Database models and schema: Learn about the logic behind the models and schema used in the web-API.
• Group Decision Making and Websockets: Learn about how the Group Decision Making framework built into DESDEO works and how it utilizes websockets.