On natural life´s tricks to survive and evolve

Author

Schwefel, Hans-Paul ; Kursawe, Frank

Author_Institution

Dortmund Univ., Germany

fYear

1998

fDate

4-9 May 1998

Firstpage

1

Lastpage

8

Abstract

Which are the fundamental principles of life? This is the main question to be addressed if one tries to create artificial life on computers. Though it has been answered only partially, evolutionary algorithms are substantially contributing already to many kinds of human problem solving by means of virtual organisms. Besides looking back on that success story and extrapolating it a bit into the future-both endeavors obviously being subjective-a new result is presented in the following showing the importance of multicellularity, which helps to self-adapt the error rates of the replication step to what is needed for efficacious and efficient optimum seeking without individual learning

Keywords

genetic algorithms; artificial life; binary optimization; evolution strategies; evolutionary algorithms; evolutionary computation; individual learning; multicellularity; natural computation; natural life; ontogeny; phenotypic plasticity; replication step; self-adaptive mutabilities; somatic mutations; virtual organisms; Algorithm design and analysis; Educational institutions; Error analysis; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Humans; Organisms; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699061

Filename

699061