Title :
On natural life´s tricks to survive and evolve
Author :
Schwefel, Hans-Paul ; Kursawe, Frank
Author_Institution :
Dortmund Univ., Germany
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;
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
DOI :
10.1109/ICEC.1998.699061
