Multi-objective Intrinsic Evolution of Embedded Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Kaufmann:2011:OCpscs,

• author = "Paul Kaufmann and Marco Platzner",
• title = "Multi-objective Intrinsic Evolution of Embedded Systems",
• booktitle = "Organic Computing --- A Paradigm Shift for Complex Systems",
• publisher = "Springer",
• year = "2011",
• editor = "Christian Mueller-Schloer and Hartmut Schmeck and Theo Ungerer",
• volume = "1",
• series = "Autonomic Systems",
• chapter = "2.5",
• pages = "193--206",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, CGP, Evolvable hardware, Evolutionary algorithms, Automatic definition of reusable functions (ADF), Multi-objective optimisation (MOEA), Evolvable caches, Autonomous systems",
• isbn13 = "978-3-0348-0129-4",
• DOI = "doi:10.1007/978-3-0348-0130-0_12",
• abstract = "The evolvable hardware paradigm facilitates the construction of autonomous systems that can adapt to environmental changes, degrading effects in the computational resources, and varying system requirements. In this article, we first introduce evolvable hardware, then specify the models and algorithms used for designing and optimising hardware functions, present our simulation toolbox, and finally show two application studies from the adaptive pattern matching and processor design domains.",

}

Genetic Programming entries for Paul Kaufmann Marco Platzner

Citations