Document Type : Research Paper
Author
Dept. of Computer science, University of Technology, Baghdad, IRAQ.
Abstract
Abstract Robot has become such a prominent tool that it has increasingly taken a more important role in many different industries because it operates with great efficiency and accuracy . In this paper genetic algorithms are used to learn complex behaviors for robot using distributed learning classifier systems as a control system . To investigate this goal is proposed a simulation system . This system uses a simulated environment with simulated robots . Because it takes far less time to run experiments in simulated world than in the real world , a much greater number of design possibilities can be tested . Also simulated environment have proved very useful to test design options , and the results of simulations turned out to be robust enough to be carried over to the real world without major problems .
Keywords
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