evolutionary algorithms

Authors

  • José María Blanco Martín Spain

Keywords:

evolution, cellular, automata, algorithm

Abstract

Evolution as selection of life strategies can be distilled to its minimum components: individuals, algorithms and inheritance. These elements are enough to reproduce the evolutionary phenomenon  from  the  most radical neo-Darwinism basis: the selection of the fittest is gradually improving the adaptation of the entire population until the perfect individual or, at least one that does pretty well, arise. In this simple approach not only novels are written by lucky monkeys, but also we can test the importance of mutation and sex, as similar agents but completely different effect. And not only that; this is such a neat reasoning that has been one of the first contributions from biology to computer science.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Publication Facts

Metric
This article
Other articles
Peer reviewers 
0
2.4

Reviewer profiles  N/A

Author statements

Author statements
This article
Other articles
Data availability 
N/A
16%
External funding 
N/A
32%
Competing interests 
N/A
11%
Metric
This journal
Other journals
Articles accepted 
3%
33%
Days to publication 
2566
145

Indexed in

Editor & editorial board
profiles
Academic society 
N/A
Publisher 
Uma Editorial. Universidad de Málaga

References

Dawkins R. El relojero ciego. Labor, Madrid. 1989. 2Holland JH. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. Univ. Michigan Press, Michigan. 1975.

Dewney AK. Juegos de ordenador. Investigación y Ciencia

: 94-98. 1986.

Published

2016-11-14

How to Cite

Blanco Martín , J. M. (2016). evolutionary algorithms. Encuentros En La Biología, 9(159), 129–135. Retrieved from https://revistas.uma.es/index.php/enbio/article/view/17941

Issue

Section

Artículos