DocumentCode
468431
Title
Assessing Hierarchical Cooperative CoEvolution
Author
Maniadakis, Michail ; Trahanias, Panos
Author_Institution
Inst. of Comput. Sci., Heraklion
Volume
1
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
391
Lastpage
398
Abstract
Recently, many research efforts are directed towards co-evolutionary algorithms. The present work aims at the assessment of Hierarchical Cooperative CoEvolution (HCCE) being properly formulated to address hierarchical problems where simple components having separate design objectives, are parts of other more complex ones. HCCE is able to highlight the specialties of each component and additionally enforce their successful integration in a composite structure. Here we present HCCE describing also the internal dynamics that provide its effectiveness in addressing difficult distributed design problems. Additionally, the results described in the present work attest to its validity and superior performance against ordinary Unimodal evolution, and Enforced SubPopulation coevolution.
Keywords
evolutionary computation; coevolutionary algorithm; distributed design problem; enforced subpopulation coevolution; hierarchical cooperative coevolution; ordinary unimodal evolution; Artificial intelligence; Assembly systems; Cognitive robotics; Computer science; Encoding; Genetics; Interconnected systems; Mechanical systems; Performance evaluation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.174
Filename
4410311
Link To Document