DocumentCode
342812
Title
Cross-fertilization between evolutionary computation and DNA-based computing
Author
Bäck, Thomas ; Kok, Joost N. ; Rozenberg, Grzegon
Author_Institution
Inf. Centrum Dortmund, Germany
Volume
2
fYear
1999
fDate
1999
Abstract
The potential for cross-fertilization between the fields of DNA based computing and evolutionary computation is outlined both from a principal point of view and by means of an experimental investigation concerning the NP-hard maximum clique problem. A simple evolutionary approach to maximum clique is introduced and the hypothesis is tested whether the increase in population size possible by realizing evolutionary computation with DNA yields the expected improvement in solution quality. Results obtained for a limited range of population sizes up to 104 indicate that the hypothesis holds for about two-third of the investigated problem instances (which were taken from the DIMACS library)
Keywords
biocomputing; computational complexity; evolutionary computation; graph theory; DIMACS library; DNA based computing; NP-hard maximum clique problem; evolutionary approach; evolutionary computation; population size; Biology computing; Concurrent computing; DNA computing; Evolutionary computation; Filtering algorithms; In vitro; Libraries; Parallel processing; RNA; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.782529
Filename
782529
Link To Document