Rezumat articol ediţie STUDIA UNIVERSITATIS BABE┼×-BOLYAI

În partea de jos este prezentat rezumatul articolului selectat. Pentru revenire la cuprinsul ediţiei din care face parte acest articol, se accesează linkul din titlu. Pentru vizualizarea tuturor articolelor din arhivă la care este autor/coautor unul din autorii de mai jos, se accesează linkul din numele autorului.

 
       
         
    STUDIA INFORMATICA - Ediţia nr.1 din 2000  
         
  Articol:   A NEW EVOLUTIONARY APPROACH FOR MULTIOBJECTIVE OPTIMIZATION.

Autori:  D. DUMITRESCU, MIHAI OLTEAN.
 
       
         
  Rezumat:  Several evolutionary algorithms for solving multiobjective opti- mization problems have been proposed ([2, 5, 6, 7, 8, 9, 10, 12, 13], see also the reviews [1, 11, 14]). AII algorithms aim to give a discrete picture of the Pareto optimal set (and of the corresponding Pareto frontier). But Pareto optimal set is usually a continuous region in the search space. It follows that a continuous region is represented by a discrete picture. When continuos decision regions are represented by discrete solutions there is an information loss. In this paper we propose a new evolutionary approach combing a new solution representation, new variation operators and a multimodal optimiza- tion technique. In the proposed approach continuous decision regions may be detected. A solution is either a closed interval or a point. The solutions in the final population will give a realistic representation of Pareto optimal set. Each solution in this population corresponds to a decision region of Pareto set. Proposed technique does not use a secondary population of non-dominated already founded.  
         
     
         
         
      Revenire la pagina precedentă