A Genetic Programming Ecosystem

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{devaney:2001:gpe,

• author = "Judith Devaney and John Hagedorn and Olivier Nicolas and Gagan Garg and Aurelien Samson and Martial Michel",
• title = "A Genetic Programming Ecosystem",
• booktitle = "Proceedings 15th International Parallel and Distributed Processing Symposium, Abstracts and CDROM",
• year = "2001",
• pages = "1323--1330",
• address = "Los Alamitos, CA, USA",
• howpublished = "Abstracts and CD-ROM",
• month = "23-27 " # apr,
• publisher = "IEEE Computer Society",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7695-0990-8",
• URL = "http://math.nist.gov/mcsd/savg/papers/bio.pdf",
• URL = "http://math.nist.gov/mcsd/savg/papers/bio.pp.gz",
• note = "IPDPS2001:WS",
• abstract = "Algorithms are needed in every aspect of parallel computing. Genetic Programming is an evolutionary technique for automating the design of algorithms through iterative steps of mutation and crossover operations on an initial population of randomly generated computer programs. This paper describes a novel parallel genetic programming (GP) system inspired by the symbiogenesis model of evolution, wherein new organisms are generated through the absorption of different life-forms in addition to the usual mutation and crossover operations. Different organisms are expressed in this GP system through multiple program representations. Two program representations considered in this paper are the procedural representation (PR) and the tree representation (TR). Populations of these representations evolve separately. Individuals in each population migrate to the other and participate in evolution via representation change algorithms. Parallelism is achieved through use of the AutoMap/AutoLink MPI library. The differences in the locality properties of the representations serve as a source of new ideas for creating the final algorithm.",

}

Genetic Programming entries for Judith E Devaney John G Hagedorn Olivier Nicolas Gagan Garg Aurelien Samson Martial Michel

Citations