Hardware/Software Coevolution of Genome Programs and Cellular Processors

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{DBLP:conf/ahs/TempestiMZ06,

• author = "Gianluca Tempesti and Pierre-Andre Mudry and Guillaume Zufferey",
• title = "Hardware/Software Coevolution of Genome Programs and Cellular Processors",
• year = "2006",
• booktitle = "First NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2006)",
• editor = "Adrian Stoica and Tughrul Arslan and Martin Suess and Senay Yal\c{c}in and Didier Keymeulen and Tetsuya Higuchi and Ricardo Salem Zebulum and Nizamettin Aydin",
• pages = "129--136",
• address = "Istanbul, Turkey",
• month = "15-18 " # jun,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, evolvable hardware, evolutionary computation, hardware-software codesign, logic partitioning, microprocessor chips, reconfigurable architectures, biological organism, cellular processor, configurable processor architecture, evolutionary technique, genome program, hardware design, hardware/software coevolution",
• ISBN = "0-7695-2614-4",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• DOI = "doi:10.1109/AHS.2006.51",
• abstract = "The application of evolutionary techniques to the design of custom processing elements bears a strong relation to the natural process that led to the co-evolution of cells and genomes in biological organisms. As such, it is an interesting avenue for an effective application of evolutionary approaches in the domain of hardware design. The architecture of conventional non-configurable processors, however, is ill-adapted to this kind of approach, as evolution can operate exclusively on the software (the genome) and not on the hardware that executes it, leading to scalability issues that seem very difficult to overcome. Building on a family of configurable processors we developed in the past years, in this article we introduce a design methodology that allows the architecture of the processor to co-evolve together with the code to be executed",

}

Genetic Programming entries for Gianluca Tempesti Pierre-Andre Mudry Guillaume Zufferey

Citations