Evolutionary controlling system with behavioral simulation

Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system

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706 20, G06N 300, G06N 312

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active

060649968

ABSTRACT:
An evolutionary control for a subject such as an engine installed in a vehicle is conducted by the steps of: selecting coefficients, as genes, affecting the control characteristics of the control system; creating plural control units as chromosomes, each being constituted by plural genes; expressing the genes of each chromosome as control characteristics by conducting behavioral simulation on each chromosome; selecting at least one chromosome from the created chromosomes based on the result of the behavioral simulation; and causing the at least one chromosome to evolve using a genetic algorithm, thereby obtaining control characteristics suitable for the user. In this method, the characteristics of the product can easily be adjusted after its purchase.

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Arpad Keleman et al., Run-Time Autotuning of a Robot Controller Using a Genetics Based Machine Learning Control Scheme, 1995 First International Conference on Genetic Algorithms in Engineering Systems 307-12, Sep. 1993.

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