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Evolving good hierarchical decompositions of complex systems
journal contribution
posted on 2023-06-07, 14:09 authored by Rudi LutzMany application areas represent the architecture of complex systems by means of hierarchical graphs containing basic entities with directed links between them, and showing the decomposition of systems into a hierarchical nested “module” structure. An interesting question is then: How best should such a complex system be decomposed into a hierarchical tree of nested “modules”? This paper describes an interesting complexity measure (based on an information theoretic minimum description length principle) which can be used to compare two such hierarchical decompositions. This is then used as the fitness function for a genetic algorithm (GA) which successfully explores the space of possible hierarchical decompositions of a system. The paper also describes the novel crosssover and mutation operators that are necessary in order to do this, and gives some examples of the system in practice.
History
Publication status
- Published
Journal
Journal of Systems ArchitectureISSN
1383-7621Publisher
Elsevier North-Holland, Inc.External DOI
Issue
7Volume
47Page range
613-634Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes