Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution

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

@InProceedings{ka-pl-07a,

• author = "Paul Kaufmann and Marco Platzner",
• title = "Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution",
• booktitle = "20th International Conference on Architecture of Computing Systems (ARCS 2007)",
• year = "2007",
• editor = "Paul Lukowicz and Lothar Thiele and Gerhard Troester",
• volume = "4415",
• series = "LNCS",
• pages = "199--208",
• address = "Zurich, Switzerland",
• month = mar # " 12-15",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming",
• isbn13 = "978-3-540-71270-1",
• DOI = "doi:10.1007/978-3-540-71270-1_15",
• size = "10 pages",
• abstract = "Evolutionary hardware design reveals the potential to provide autonomous systems with self-adaptation properties. We first outline an architectural concept for an intrinsically evolvable embedded system that adapts to slow changes in the environment by simulated evolution, and to rapid changes in available resources by switching to preevolved alternative circuits. In the main part of the paper, we treat evolutionary circuit design as a multi-objective optimization problem and compare two multi-objective optimizers with a reference genetic algorithm. In our experiments, the best results were achieved with TSPEA2, an optimizer that prefers a single objective while trying to maintain diversity.",
• notes = "Hashing Function",

}

Genetic Programming entries for Paul Kaufmann Marco Platzner

Citations