DEE : a tool for genetic tuning of softwarecomponents on a distributed network ofworkstations
Ernesto Damiani, Giovanni Degli Antoni, Andrea G. B. Tettamanzi · 1998
: This paper presents DEE, the Distributed Evolutionary Engine, a complete framework for the off-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. 1. Introduction The idea of using evolutionary algorithms to tune parameters of fuzzy software components is relatively recent. The first attempts in this direction were aimed to the synthesis and optimization of fuzzy controllers (Karr 1991, Thrift 1991). Besides control, another area of research is data mining, where evolutionary algorithms are used to optimize queries. This optimization task becomes particularly interesting when queries are vague, database indexing is fuzzy and the data themse...