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Titolo:
Evolving good hierarchical decompositions of complex systems
Autore:
Lutz, R;
Indirizzi:
Univ Sussex, Sch Cognit & Comp Sci, Brighton BN1 9QH, E Sussex, England Univ Sussex Brighton E Sussex England BN1 9QH BN1 9QH, E Sussex, England
Titolo Testata:
JOURNAL OF SYSTEMS ARCHITECTURE
fascicolo: 7, volume: 47, anno: 2001,
pagine: 613 - 634
SICI:
1383-7621(200107)47:7<613:EGHDOC>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
SOFTWARE;
Keywords:
hierarchical decomposition; complexity; minimum description length principle; software design; evolutionary algorithm;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Lutz, R Univ Sussex, Sch Cognit & Comp Sci, Brighton BN1 9QH, E Sussex, England Univ Sussex Brighton E Sussex England BN1 9QH , E Sussex, England
Citazione:
R. Lutz, "Evolving good hierarchical decompositions of complex systems", J SYST ARCH, 47(7), 2001, pp. 613-634

Abstract

Many 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 thefitness 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 necessaryin order to do this, and gives some examples of the system in practice. (C) 2001 Elsevier Science B.V. All rights reserved.

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Documento generato il 19/01/20 alle ore 09:09:37