This paper presents DEE, the Distributed Evolutionary Engine, a complete framework for the o -line tuning of fuzzy-logic based software components using parallel adaptation algorithms. The system was implemented on a high-speed network of workstations by means of a general-purpose task distribution tool. After the description of DEE's architecture, the tuning of fuzzy software components is discussed as an alternative to maintenance, and some encouraging experimental results are described.

DEE : a tool for genetic tuning of software components on a distributed network of workstations / E. Damiani, G. Degli Antoni, A.G.B. Tettamanzi. - In: INTERNATIONAL JOURNAL OF APPLIED SOFTWARE TECHNOLOGY. - ISSN 1198-5577. - 3:2-3(1998), pp. 127-144.

DEE : a tool for genetic tuning of software components on a distributed network of workstations

E. Damiani
Primo
;
G. Degli Antoni
Secondo
;
A.G.B. Tettamanzi
Ultimo
1998

Abstract

This paper presents DEE, the Distributed Evolutionary Engine, a complete framework for the o -line tuning of fuzzy-logic based software components using parallel adaptation algorithms. The system was implemented on a high-speed network of workstations by means of a general-purpose task distribution tool. After the description of DEE's architecture, the tuning of fuzzy software components is discussed as an alternative to maintenance, and some encouraging experimental results are described.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/71905
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