Passive Analog Filter Design Using GP Population Control Strategies

Created by W.Langdon from gp-bibliography.bib Revision:1.4031

  author =       "Mariano Chouza and Claudio Rancan and Osvaldo Clua and 
                 Ramon Garcia-Martinez",
  title =        "Passive Analog Filter Design Using GP Population
                 Control Strategies",
  booktitle =    "Opportunities and Challenges for Next-Generation
                 Applied Intelligence: Proceedings of the International
                 Conference on Industrial, Engineering \& Other
                 Applications of Applied Intelligent Systems (IEA-AIE)
  pages =        "153--158",
  year =         "2009",
  editor =       "Been-Chian Chien and Tzung-Pei Hong",
  volume =       "214",
  series =       "Studies in Computational Intelligence",
  publisher =    "Springer-Verlag",
  publisher_address = "Berlin",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-92813-3",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-92814-0_24",
  abstract =     "This paper presents the use of two different
                 strategies for genetic programming (GP) population
                 growth control: decreasing the computational effort by
                 plagues and dynamic adjustment of fitness; applied to
                 passive analog filters design based on general
                 topologies. Obtained experimental results show that
                 proposed strategies improve the design process

Genetic Programming entries for Mariano Chouza Claudio Rancan Osvaldo Clua Ramon Garcia-Martinez