- author = "Mark S. Voss and Xin Feng",
- title = "A New Methodology For Emergent System Identification Using Particle Swarm Optimization ({PSO}) And The Group Mehtod Data Handling ({GMDH})",
- booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
- editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
- year = "2002",
- pages = "1227--1232",
- address = "New York",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "9-13 " # jul,
- publisher = "Morgan Kaufmann Publishers",
- keywords = "genetic algorithms, genetic programming, real world applications, genetic programming, GMDH, group method for data handling, particle swarm optimization, PSO, system identification",
- ISBN = "1-55860-878-8",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2002/RWA289_Fixed.pdf",
-
URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf",
-
URL = "
http://dl.acm.org/citation.cfm?id=2955491.2955702",
- acmid = "2955702",
- abstract = "A new methodology for Emergent System Identification is proposed in this paper. The new method applies the self-organizing Group Method of Data Handling (GMDH) functional networks, Particle Swarm Optimization (PSO), and Genetic Programming (GP) that is effective in identifying complex dynamic systems. The focus of the paper will be on how Particle Swarm Optimization (PSO) is applied within Group Method of Data Handling (GMDH) which is used as the modelling framework.",
-
notes = "Also known as
\cite{Voss:2002:NME:2955491.2955702}
GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)",
