Tuning fuzzy software components with a distributed evolutionary engine
Andrea Bottari, Gianni Degli Antoni, Andrea G. B. Tettamanzi · 1998
This paper presents a framework for the off-line tuning of fuzzy-logic based software components (FSCs) using a parallel evolutionary algorithms (EAs). The system was implemented on a high-speed network of workstations by means of a general-purpose task distribution tool. After the description of the framework 's architecture, the tuning of FSCs is discussed as an alternative to maintenance, and some encouraging experimental results are described. 1 INTRODUCTION This paper describes a distributed evolutionary engine providing an experimental setting for the tuning of fuzzy software components (FSCs). Our investigation addresses three main aspects, namely inexpensive, large scale synthesis and/or optimization of FSCs, reduction of software maintenance efforts and reusability, obtained through tuning rather than classical adaptation techniques. In order to deal with these problems by means of adaptation methods, an intensive use of computational resources is required. Concurrent computi...