Cluster-based evolutionary design of digital circuits using all improved multi-expression programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@InProceedings{1274013,

• author = "Fatima Zohra Hadjam and Claudio Moraga and Mohamed Benmohamed",
• title = "Cluster-based evolutionary design of digital circuits using all improved multi-expression programming",
• booktitle = "Late breaking paper at Genetic and Evolutionary Computation Conference {(GECCO'2007)}",
• year = "2007",
• month = "7-11 " # jul,
• editor = "Peter A. N. Bosman",
• isbn13 = "978-1-59593-698-1",
• pages = "2475--2482",
• address = "London, United Kingdom",
• keywords = "genetic algorithms, genetic programming, improved multi-expression programming, islands model",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2475.pdf",
• URL = "http://ls1-www.cs.uni-dortmund.de/pdf/Veroeffentlichungen/GECCO-2007.pdf",
• DOI = "doi:10.1145/1274000.1274013",
• publisher = "ACM Press",
• publisher_address = "New York, NY, USA",
• abstract = "Evolutionary Electronics (EE) is a research area which involves application of Evolutionary Computation in the domain of electronics. EE algorithms are generally able to find good solutions to rather small problems in a reasonable amount of time, but the need for solving more and more complex problems increases the time required to find adequate solutions. This is due to the large number of individuals to be evaluated and to the large number of generations required until the convergence process leads to the solution. As a consequence, there have been multiple efforts to make EE faster, and one of the most promising choices is to use distributed implementations. In this paper, we propose a cluster-based evolutionary design of digital circuits using a distributed improved multi expression programming method (DIMEP). DIMEP keeps, in parallel, several sub-populations that are processed by Improved Multi-Expression Programming algorithms, with each one being independent from the others. A migration mechanism produces a chromosome exchange between the subpopulations using MPI (Message Passing Interface) on a dedicated cluster of workstations (Lido Cluster, Dortmund University). This paper presents the main ideas and shows preliminary experimental results.",
• notes = "Distributed on CD-ROM at GECCO-2007 ACM Order No. 910071",

}

Genetic Programming entries for Fatima Zohra Hadjam Claudio Moraga Mohamed Benmohamed

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