A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Stanis Trendelenburg and Joachim Becker and 
                 Fabian Henrici and Yiannos Manoli",
  title =        "A GP algorithm for efficient synthesis of GM-C filters
                 on a hexagonal FPAA structure",
  booktitle =    "GECCO '08: Proceedings of the 10th annual conference
                 on Genetic and evolutionary computation",
  year =         "2008",
  editor =       "Maarten Keijzer and Giuliano Antoniol and 
                 Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and 
                 Nikolaus Hansen and John H. Holmes and 
                 Gregory S. Hornby and Daniel Howard and James Kennedy and 
                 Sanjeev Kumar and Fernando G. Lobo and 
                 Julian Francis Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Jordan Pollack and Kumara Sastry and 
                 Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and 
                 Ingo Wegener",
  isbn13 =       "978-1-60558-130-9",
  pages =        "295--296",
  address =      "Atlanta, GA, USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p295.pdf",
  DOI =          "doi:10.1145/1389095.1389146",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "12-16 " # jul,
  keywords =     "genetic algorithms, genetic programming, evolvable
                 hardware, filter synthesis, microelectronics,
                 Artificial life, evolutionary robotics, adaptive
                 behaviour, Computer Applications, Electronics,
                 Artificial Intelligence, Heuristic Methods, Algorithms:
  abstract =     "This work presents an approach based on Genetic
                 Programming for the synthesis of continuous-time
                 analogue filters on a field-programmable analog array.
                 A multi-objective algorithm is used to synthesize both
                 the topology and parameter values of G m -C filter
                 structures to be instantiated on the FPAA based on a
                 given filter specification. The presented algorithm is
                 highly adapted to the underlying hardware platform,
                 with the goal of making an efficient crossover of
                 high-quality building blocks possible without biasing
                 certain types of schemata. By manipulating of the
                 program tree in the instantiation phase, it is assured
                 that the resulting synthesized structure fits within
                 the physical constraints of the underlying hardware
  notes =        "GECCO-2008 A joint meeting of the seventeenth
                 international conference on genetic algorithms
                 (ICGA-2008) and the thirteenth annual genetic
                 programming conference (GP-2008).

                 ACM Order Number 910081. Also known as \cite{1389146}",

Genetic Programming entries for Stanis Trendelenburg Joachim Becker Fabian Henrici Yiannos Manoli