DocumentCode
1652717
Title
A blended population approach to cooperative coevolution for decomposition of complex problems
Author
Sofge, Donald ; De Jong, Kenneth ; Schultz, Alan
Author_Institution
Center for Appl. Res. in Artificial Intelligence, Naval Res. Lab., Washington, DC, USA
Volume
1
fYear
2002
Firstpage
413
Lastpage
418
Abstract
Cooperative coevolutionary architectures provide a framework for solving complex problems by decomposing them into constituent subproblems, solving the subproblems, and then reintegrating the solutions. This paper presents a blended cooperative coevolution model which offers advantages over traditional evolutionary algorithms and currently-used cooperative coevolutionary architectures
Keywords
cooperative systems; evolutionary computation; problem solving; software architecture; blended cooperative coevolution model; blended population approach; complex problem decomposition; cooperative coevolutionary architectures; evolutionary algorithms; problem solving; solution reintegration; subproblems; Artificial intelligence; Bioinformatics; Collaboration; Computer architecture; Computer science; Diversity reception; Evolutionary computation; Genetic mutations; Genomics; Laboratories;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006270
Filename
1006270
Link To Document