---
_id: '11619'
abstract:
- lang: eng
  text: "Reconfigurable circuit devices have opened up a fundamentally new way of
    creating adaptable systems. Combined with artificial evolution, reconfigurable
    circuits allow an elegant adaptation approach to compensating for changes in the
    distribution of input data, computational resource errors, and variations in resource
    requirements. Referred to as ``Evolvable Hardware'' (EHW), this paradigm has yielded
    astonishing results for traditional engineering challenges and has discovered
    intriguing design principles, which have not yet been seen in conventional engineering.\r\n\r\nIn
    this thesis, we present new and fundamental work on Evolvable Hardware motivated
    by the insight that Evolvable Hardware needs to compensate for events with different
    change rates. To solve the challenge of different adaptation speeds, we propose
    a unified adaptation approach based on multi-objective evolution, evolving and
    propagating candidate solutions that are diverse in objectives that may experience
    radical changes.\r\n\r\nFocusing on algorithmic aspects, we enable Cartesian Genetic
    Programming (CGP) model, which we are using to encode Boolean circuits, for multi-objective
    optimization by introducing a meaningful recombination operator. We improve the
    scalability of CGP by objectives scaling, periodization of local- and global-search
    algorithms, and the automatic acquisition and reuse of subfunctions using age-
    and cone-based techniques. We validate our methods on the applications of adaptation
    of hardware classifiers to resource changes, recognition of muscular signals for
    prosthesis control and optimization of processor caches."
author:
- first_name: Paul
  full_name: Kaufmann, Paul
  last_name: Kaufmann
citation:
  ama: 'Kaufmann P. <i>Adapting Hardware Systems by Means of Multi-Objective Evolution</i>.
    Berlin: Logos Verlag Berlin GmbH; 2013.'
  apa: 'Kaufmann, P. (2013). <i>Adapting Hardware Systems by Means of Multi-Objective
    Evolution</i>. Berlin: Logos Verlag Berlin GmbH.'
  bibtex: '@book{Kaufmann_2013, place={Berlin}, title={Adapting Hardware Systems by
    Means of Multi-Objective Evolution}, publisher={Logos Verlag Berlin GmbH}, author={Kaufmann,
    Paul}, year={2013} }'
  chicago: 'Kaufmann, Paul. <i>Adapting Hardware Systems by Means of Multi-Objective
    Evolution</i>. Berlin: Logos Verlag Berlin GmbH, 2013.'
  ieee: 'P. Kaufmann, <i>Adapting Hardware Systems by Means of Multi-Objective Evolution</i>.
    Berlin: Logos Verlag Berlin GmbH, 2013.'
  mla: Kaufmann, Paul. <i>Adapting Hardware Systems by Means of Multi-Objective Evolution</i>.
    Logos Verlag Berlin GmbH, 2013.
  short: P. Kaufmann, Adapting Hardware Systems by Means of Multi-Objective Evolution,
    Logos Verlag Berlin GmbH, Berlin, 2013.
date_created: 2019-07-11T11:51:51Z
date_updated: 2022-01-06T06:51:04Z
department:
- _id: '78'
language:
- iso: eng
page: '249'
place: Berlin
publication_identifier:
  isbn:
  - 978-3-8325-3530-8
publication_status: published
publisher: Logos Verlag Berlin GmbH
status: public
supervisor:
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
title: Adapting Hardware Systems by Means of Multi-Objective Evolution
type: dissertation
user_id: '3118'
year: '2013'
...