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The standard Genetic Algorithm, originally inspired by natural evolution, has displayed its effectiveness in solving a wide variety of complex problems. This paper describes the use of the natural phenomenon known as the Baldwin effect (or cross-generational learning) as an enhancement to the...
This paper describes the application of the Structured Genetic Algorithm (sGA) to design neuro-controllers for an unstable physical system. In particular, the approach uses a single unified genetic process to automatically evolve complete neural nets (both architectures and their weights) for...
The performance of a Flexible Manufacturing System (FMS) is generally linked to its productivity and is often limited by poor use of available resources. One of the main goals in the automated factory environment is, therefore, the exploitation of resources to the full, in such a way as to...
Software reuse is widely believed to be a key to improving software productivity and quality in conventional software. In expert systems, much of the knowledge has been compiled (i.e., compressed and restricted into effective procedures) and this makes reusability difficult. One of the issues in...
This work is focused on an architecture for systems which act inside an unpredictable world (embedded systems). Several systems dealing with the above issue have been proposed so far. We classify them by means of their architectures and algorithms, obtaining, for example, classical, deferred and...
In this paper, we consider neural-fuzzy models for multispectral image analysis. We consider both supervised and unsupervised classification. The model for supervised classification consists of six layers. The first three layers map the input variables to fuzzy set membership functions. The last...
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