Přístupnostní navigace
E-application
Search Search Close
Publication detail
SEKANINA, L.
Original Title
Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world
Type
journal article - other
Language
English
Original Abstract
Evolutionary algorithms (EA) are population-based search algorithms. They have been applied to solve numerous engineering as well as scientific design and optimization problems, in many cases outperforming conventional methods or other search-based methods. Dozens of human-competitive results obtained using EA were awarded at the annual GECCO Humies competitions. Despite these achievements, the EA-based problem solving approach has been criticized mainly because of very long runtimes, insufficient scalability, an inherently stochastic nature and a missing rigorous theoretical background, especially regarding the convergence analysis. In order to speed up the EA, particularly the fitness function evaluation, various accelerators have been proposed utilizing clusters of computers, graphics processing units (GPUs) or specialized hardware. This contribution to the Ubiquity Symposium addresses the scenario in which evolutionary design (or optimization) is carried out on a chip and candidate designs are real physical entities such as electronic circuits. It will be shown that this approach exhibits several unique features that are very relevant to the purpose of this symposium. We will address the question on what it means for a physical system to be designed evolutionarily and on what kinds of computations such physical systems perform.
Keywords
evolutionary computation, evolvable hardware, computing theory
Authors
RIV year
2013
Released
27. 2. 2013
ISBN
1530-2180
Periodical
Ubiquity
Year of study
Number
2
State
United States of America
Pages from
1
Pages to
7
Pages count
URL
http://ubiquity.acm.org/article.cfm?id=2435199
BibTex
@article{BUT103424, author="Lukáš {Sekanina}", title="Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world", journal="Ubiquity", year="2013", volume="2013", number="2", pages="1--7", doi="10.1145/2435197.2435199", issn="1530-2180", url="http://ubiquity.acm.org/article.cfm?id=2435199" }