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  Modeling biological sensorimotor control with genetic algorithms

Huber, S., Mallot, H., & Bülthoff, H.(1998). Modeling biological sensorimotor control with genetic algorithms (60). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E87D-B Version Permalink: http://hdl.handle.net/21.11116/0000-0002-8E4F-7
Genre: Report

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MPIK-TR-60.pdf (Publisher version), 1002KB
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 Creators:
Huber, SA1, 2, Author              
Mallot, HA1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Evolutionary optimization of sensorimotor control has lead to matched filter neurons in the visual system of flies that are specialized to certain visual motion patterns. We apply the technique of genetic algorithms in order to model parts of the sensor system and behavior of an artificial agent. The agents are rather simple systems with only four sensors. We will show how genetic algorithms can be applied to evolve simple matched filters that analyze the visual motion information for the task of obstacle avoidance. We compare the agents' sensorimotor control to that of flies. Further we test the optimization performance of the genetic algorithms. We can show that the use of binary or Gray coding has no significant influence on our optimization results and the speed of convergence. Real value coding leads on average to slightly smaller maximal fitness values. The use of a combination of mutation and crossover leads to high fitness individuals and a high fitness population.

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 Dates: 1998-05
 Publication Status: Published in print
 Pages: 19
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
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 Identifiers: Report Nr.: 60
BibTex Citekey: 1528
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 60 Sequence Number: - Start / End Page: - Identifier: -