Article

Parameter evolution: a design pattern for active vision

Authors:

Michael Müller,

Dennis Senftleben,

Josef PauliAuthors Info & Claims

KI'09: Proceedings of the 32nd annual German conference on Advances in artificial intelligence

Pages 128 - 135

Published: 15 September 2009 Publication History

Abstract

In current robot applications the developer has to deal with changing environments, making a one-time calibration of algorithm parameters for the vision system impossible. A design pattern dealing with this problem thereby incorporating evolutionary strategies is presented and demonstrated on an example. The example shows that it is possible for the vision system to adjust its parameters automatically and to achieve results near to the optimum.

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Published In

KI'09: Proceedings of the 32nd annual German conference on Advances in artificial intelligence

September 2009

737 pages

ISBN:3642046169

Editors:
Bärbel Mertsching
University of Paderborn, GET Lab, Paderborn, Germany
,
Marcus Hund
University of Paderborn, GET Lab, Paderborn, Germany
,
Zaheer Aziz
University of Paderborn, GET Lab, Paderborn, Germany

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 15 September 2009

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Dichotomy Guided Based Parameter Adaptation for Differential Evolution

Multi-population differential evolution with adaptive parameter control for global optimization

A novel differential evolution algorithm with a self-adaptation parameter control method by differential evolution

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