Genetic algorithms based on genetic grammar

Ralf Hofestaedt; Hermann Mueller

doi:10.1117/12.139959

20 August 1992 Genetic algorithms based on genetic grammar

Ralf Hofestaedt, Hermann Mueller

Proceedings Volume 1706, Adaptive and Learning Systems; (1992) https://doi.org/10.1117/12.139959
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The cell represents the basic unit of life. It can be interpreted as a chemical machine which can solve special problems. The present knowledge we have of molecular biology allows the characterization of the metabolism as a processing method. This method is an evolutionary product which has been developed over millions of years. First we will present the analyzed features of the metabolism. Then we will go on to compare this processing method with methods which are discussed in computer science. The comparison shows that there is no method in the field of computer science which uses all the metabolic features. This is the reason why we formalize the metabolic processing method. In this paper we choose to use a grammatical formalism. A genetic grammar is the basis of the metabolic system which represents the metabolic processing method. The basic unit of this system (logic unit) will be shown. This allows the discussion of the complexity of realizing the metabolic system in hardware.

Citation Download Citation

Ralf Hofestaedt and Hermann Mueller "Genetic algorithms based on genetic grammar", Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); https://doi.org/10.1117/12.139959

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