benamorrettinger12005.bib

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@COMMENT Fachberichte Informatik: Die Gelbe Reihe der Universitaet Koblenz-Landau
@COMMENT -
@TechReport{	  benamor:rettinger:1:2005,
  author	= "Heni Ben Amor and Achim Rettinger",
  title		= "{Intelligent Exploration for Genetic Algorithms -- Using
		  Self-Organizing Maps in Evolutionary Computation}",
  institution	= "{Universit{\"a}t Koblenz-Landau}",
  year		= 2005,
  type		= "Fachberichte Informatik",
  number	= "1--2005",
  language	= "english",
  address	= "Universit{\"a}t Koblenz-Landau, Institut f{\"u}r
		  Informatik, Universit{\"a}tsstr. 1, D-56070 Koblenz",
  url		= "http://www.uni-koblenz.de/fb4/publikationen/gelbereihe/RR-1-2005.pdf"
		  ,
  abstract	= "Exploration vs. exploitation is a well known issue in
		  Evolutionary Algorithms. Accordingly, an unbalanced search
		  can lead to premature convergence. GASOM, a novel Genetic
		  Algorithm, addresses this problem by intelligent
		  exploration techniques. The approach uses Self-Organizing
		  Maps to mine data from the evolution process. The
		  information obtained is successfully utilized to enhance
		  the search strategy and confront genetic drift. This way,
		  local optima are avoided and exploratory power is
		  maintained. The evaluation of GASOM on well known problems
		  shows that it effectively prevents premature convergence
		  and seeks the global optimum. Particularly in deceptive and
		  missleading functions it showed outstanding performance.
		  Additionally, representing the search history by the
		  Self-Organizing Map provides a visually pleasing insight
		  into the state and course of evolution.",
  issn		= "1860-4471"
}