Emergent system identification using particle swarm optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{2001SPIE.4512..193V,

• author = "Mark S. Voss and Xin Feng",
• title = "Emergent system identification using particle swarm optimization",
• booktitle = "Procceedings of SPIE: Complex Adaptive Structures",
• year = "2001",
• month = oct,
• adsnote = "Provided by the NASA Astrophysics Data System",
• editor = "William B. Spillman",
• volume = "4512",
• pages = "193--202",
• organisation = "SPIE--The International Society for Optical Engineering",
• keywords = "genetic algorithms, genetic programming, PSO, GMDH",
• URL = "http://www.evolutionarystructures.com/papers/88338032.pdf",
• URL = "http://adsabs.harvard.edu/cgi-bin/nph-bib_query?2001SPIE.4512..193V",
• URL = "http://citeseer.ist.psu.edu/560788.html",
• DOI = "doi:10.1117/12.446767",
• size = "10 pages",
• abstract = "Complex Adaptive Structures can be viewed as a combination of Complex Adaptive Systems and fully integrated autonomous Smart Structures. Traditionally when designing a structure, one combines rules of thumb with theoretical results to develop an acceptable solution. This methodology will have to be extended for Complex Adaptive Structures, since they, by definition, will participate in their own design. In this paper we introduce a new methodology for Emergent System Identification that is concerned with combining the methodologies of self-organising functional networks (GMDH - Alexy G. Ivakhnenko), Particle Swarm Optimization (PSO - James Kennedy and Russell C. Eberhart) and Genetic Programming (GP - John Koza). This paper will concentrate on the use of Particle Swarm Optimisation in this effort and discuss how Particle Swarm Optimization relates to our ultimate goal of emergent self-organizing functional networks that can be used to identify overlapping internal structural models. The ability for Complex Adaptive Structures to identify emerging internal models will be a key component for their success.",

}

Genetic Programming entries for Mark Seth Voss Xin Feng

Citations