Topic: Reference Implementation and Benchmarking of Distributed Optimization in Julia

Topic: Reference Implementation and Benchmarking of Distributed Optimization in Julia

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Title Reference Implementation and Benchmarking of Distributed Optimization in Julia
Description

Distributed optimization is one of the core use-cases for multi-agent systems. Mango.jl is a new implementation of the python multi-agent framework mango-agents in the Julia programming language. In this thesis, a reference implementation of the distributed heuristic COHDA for Mango.jl agents will be implemented. Part of the evaluation should be an extensive benchmarking of the runtime and solution quality of the implementation. Additionally, a comparison with other state-of-the-art optimization methods can also be created.

Home institution Department of Computing Science
Type of work practical / application-focused
Type of thesis Bachelor's or Master's degree
Author Jens Sager
Status available
Problem statement
Requirement
  • gute Programmierkenntnisse
  • idealerweise erste Erfahrungen mit Julia und/oder Python
Created 18/03/24

Study data

Departments
  • Digitalisierte Energiesysteme
Degree programmes
  • Bachelor's Programme Business Informatics
  • Master's programme Digitalised Energy Systems
  • Master's Programme Computing Science
  • Bachelor's Programme Computing Science
  • Master's Programme Business Informatics
Assigned courses
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