Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Stanislaw Deniziak and Leszek Ciopinski and 
                 Grzegorz Pawinski",
  title =        "Design of Real-Time Computer-Based Systems Using
                 Developmental Genetic Programming",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "9",
  pages =        "221--244",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-20882-4",
  DOI =          "doi:10.1007/978-3-319-20883-1_9",
  abstract =     "This chapter presents applications of the
                 developmental genetic programming (DGP) to design and
                 optimize real-time computer-based systems. We show that
                 the DGP approach may be efficiently used to solve the
                 following problems: scheduling of real-time tasks in
                 multiprocessor systems, hardware/software codesign of
                 distributed embedded systems, budget-aware real-time
                 cloud computing. The goal of optimization is to
                 minimize the cost of the system, while all real-time
                 constraints will be satisfied. Since the finding of the
                 best solution is very complex, only efficient
                 heuristics may be applied for real-life systems. Unlike
                 the other genetic approaches where chromosomes
                 represent solutions, in the DGP chromosomes represent
                 system construction procedures. Thus, not the system
                 architecture, but the synthesis process evolves.
                 Finally, a tree describing the construction of a
                 (sub-)optimal solution is obtained and the
                 genotype-to-phenotype mapping is applied to create the
                 target system. Some other ideas concerning other
                 applications of the DGP for optimization of
                 computer-based systems also are outlined.",

Genetic Programming entries for Stanislaw Deniziak Leszek Ciopinski Grzegorz Pawinski