Applying genetic algorithm for the development of the components-based embedded system

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Tzu-Laing (Bill) Tseng and Wen-Yau Liang and 
                 Chun-Che Huang and Tsung-Yu Chian",
  title =        "Applying genetic algorithm for the development of the
                 components-based embedded system",
  journal =      "Computer Standards \& Interfaces",
  year =         "2005",
  volume =       "27",
  pages =        "621--635",
  number =       "6",
  abstract =     "The embedded system is primarily designed for a
                 particular piece of equipment and it varies on a
                 case-by-case basis. The functionality is required to be
                 specific to the equipment and consequently the
                 application domain is limited. The software embedded in
                 the system also faces problem due to the limitation of
                 the hardware capacity. It is necessary for the
                 designers to consider the hardware capacity and
                 software specification simultaneously while an embedded
                 system is developed. If hardware and software are taken
                 into account concurrently, the design applicability and
                 efficiency are decreased. The evolutionary computing
                 (EC), which comprises techniques of evolutionary
                 programming, evolution strategies, genetic algorithms,
                 and genetic programming has been widely used to solve
                 optimisation problems for large scale and complex
                 systems. It is capable to escape not only from local
                 optima due to population based approach, but also from
                 unbiased nature, which enables it to perform well in a
                 situation with little domain knowledge. Therefore, this
                 study proposes an evolutionary approach that applies
                 the characteristics of software reuse, the metrics for
                 the object-oriented concept, and the genetic algorithm
                 to effectively manage and optimize the embedded system.
                 This approach is implemented in the World Wide Web
                 environment. Numerous results associated with
                 performance enhancements of the algorithm are
  owner =        "wlangdon",
  URL =          "",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Embedded
                 system, Software components",
  DOI =          "doi:10.1016/j.csi.2004.12.001",

Genetic Programming entries for Tzu-Laing (Bill) Tseng Wen-Yau Liang Chun-Che Huang Tsung-Yu Chian