Details
| Original language | English |
|---|---|
| Pages (from-to) | 68-81 |
| Number of pages | 14 |
| Journal | Cybernetics and Systems |
| Volume | 42 |
| Issue number | 2 |
| Publication status | Published - Feb 2011 |
Abstract
In this work we use a simulation model of the slime mold Dictyostelium discoideum to study mechanisms of evolutional selection. Dictyostelium discoideum shows "altruistic" behavior: some cells sacrifice themselves in order to enable the survival of other cells. This behavior contradicts the individual selection on a "survival of the fittest" basis, which is used in many computational algorithms. We will show that individuals with lower fitness will not die out; on the contrary, they might be necessary for the survival of a population. As a conclusion, we should rethink the practice of selecting the best individuals on the basis of one single measure in computational algorithms using a selection scheme.
Keywords
- dictyostelium discoideum, emergent behavior, evolutionary algorithms, swarm intelligence
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Artificial Intelligence
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In: Cybernetics and Systems, Vol. 42, No. 2, 02.2011, p. 68-81.
Research output: Contribution to journal › Article › Research › peer review
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TY - JOUR
T1 - A simulation model of Dictyostelium discoideum for the study of evolutionary selection mechanisms
AU - Becker, Matthias
AU - Szczerbicka, Helena
PY - 2011/2
Y1 - 2011/2
N2 - In this work we use a simulation model of the slime mold Dictyostelium discoideum to study mechanisms of evolutional selection. Dictyostelium discoideum shows "altruistic" behavior: some cells sacrifice themselves in order to enable the survival of other cells. This behavior contradicts the individual selection on a "survival of the fittest" basis, which is used in many computational algorithms. We will show that individuals with lower fitness will not die out; on the contrary, they might be necessary for the survival of a population. As a conclusion, we should rethink the practice of selecting the best individuals on the basis of one single measure in computational algorithms using a selection scheme.
AB - In this work we use a simulation model of the slime mold Dictyostelium discoideum to study mechanisms of evolutional selection. Dictyostelium discoideum shows "altruistic" behavior: some cells sacrifice themselves in order to enable the survival of other cells. This behavior contradicts the individual selection on a "survival of the fittest" basis, which is used in many computational algorithms. We will show that individuals with lower fitness will not die out; on the contrary, they might be necessary for the survival of a population. As a conclusion, we should rethink the practice of selecting the best individuals on the basis of one single measure in computational algorithms using a selection scheme.
KW - dictyostelium discoideum
KW - emergent behavior
KW - evolutionary algorithms
KW - swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=79952689322&partnerID=8YFLogxK
U2 - 10.1080/01969722.2010.541205
DO - 10.1080/01969722.2010.541205
M3 - Article
AN - SCOPUS:79952689322
VL - 42
SP - 68
EP - 81
JO - Cybernetics and Systems
JF - Cybernetics and Systems
SN - 0196-9722
IS - 2
ER -