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    STUDIA INFORMATICA - Issue no. 1 / 2004  
         
  Article:   ROAMING OPTIMIZATION: A NEW EVOLUTIONARY TECHNIQUE FOR MULTIMODAL OPTIMIZATION.

Authors:  R.I. LUNG, D. DUMITRESCU. 		 
       
         
  Abstract:  A new evolutionary technique for multimodal optimization called Roa-ming technique (RT) is proposed. Multiple optima are detected using subpopulations evolving in isolation. A stability measure is defined for subpopulations by which they are characterized as stable or unstable. Stable subpopulations are considered to contain local optima. An external population called the archive is used to store the optima detected. After a number of generations the archive contains all local optima. Experimental results prove the eficiency of the algorithm.  
         
     
         
         
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