A dynamic Lattice to Evolve Hierarchically Shared Subroutines: DL'GP

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{racine:1998:dlehss,

• author = "Alain Racine and Marc Schoenauer and Philippe Dague",
• title = "A dynamic Lattice to Evolve Hierarchically Shared Subroutines: DL'GP",
• booktitle = "Proceedings of the First European Workshop on Genetic Programming",
• year = "1998",
• editor = "Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty",
• volume = "1391",
• series = "LNCS",
• pages = "220--232",
• address = "Paris",
• publisher_address = "Berlin",
• month = "14-15 " # apr,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-64360-5",
• DOI = "doi:10.1007/BFb0055941",
• size = "13 pages",
• abstract = "Our purpose is to enhance performance of Genetic Programming (GP) search. For this, we have been develop a homogeneous system allowing to construct simultaneously a solution and sub-parts of it within a GP framework. This problem is a crucial point in GP research lately since this is intimately linked with building blocks existence problem. we present an 'on-going' work concerning DL GP Dynamic Lattice Genetic Programming a new GP system to evolve shared specific modules using a hierarchical cooperative coevolution paradigm. This scheme attempts to improve efficiency of GP by taking one's inspiration of organisation of natural entities, especially the emergence of complexity. In particular, DL GP does not require heuristic knowledge. Different credit assignment strategies are presented to compute modules fitness. DL GP approach attempts to reduce the global depth of a tree-solution and avoids multiple searches of the same sub-components. Moreover modules induction improves 'readability' of GP outputs. In particular, local evolutionary process is applied on the different set of subroutines in order to do converged each population toward a specific ability which remains at disposal of higher level subroutines. Problem decomposition and sub-tasks distribution is emergent through the lattice.",
• notes = "EuroGP'98",
• affiliation = "C.M.A.P. Ecole Polytechnique 91128 Palaiseau France 91128 Palaiseau France",

}

Genetic Programming entries for Alain Racine Marc Schoenauer Philippe Dague

Citations