19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007)
Assessing Hierarchical Cooperative CoEvolution
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
Recently, many research efforts are directed towards co- evolutionary algorithms. The present work aims at the as- sessment of Hierarchical Cooperative CoEvolution (HCCE) being properly formulated to address hierarchical problems where simple components having separate design objec- tives, are parts of other more complex ones. HCCE is able to highlight the specialties of each component and addi- tionally enforce their successful integration in a composite structure. Here we present HCCE describing also the inter- nal dynamics that provide its effectiveness in addressing dif- ficult distributed design problems. Additionally, the results described in the present work attest to its validity and su- perior performance against ordinary Unimodal evolution, and Enforced SubPopulation coevolution.
Citation:
Michail Maniadakis, Panos Trahanias, "Assessing Hierarchical Cooperative CoEvolution," ictai, vol. 1, pp.391-398, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007