Now showing items 1-4 of 4

    • A Fuzzy Areal Assessment Approach for Potentially Contaminated Sites 

      Özdamar, Linet; Demirhan, M; Özpınar, A; Kılanç, B (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2000-04)
      This article describes a new fuzzy areal site assessment approach in the detection of contaminated zones within a site which is under environmental investigation. Conventional techniques utilized in this held are mostly ...
    • Comparison of Partition Evaluation Measures in an Adaptive Partitioning Algorithm for Global Optimization 

      Özdamar, Linet; Demirhan, M (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2001-01-01)
      An adaptive partitioning algorithm with random search is proposed to locate the global optimum of multimodal functions. Partitioning algorithms divide the feasible region into nonoverlapping partitions in order to restrict ...
    • Experiments with New Stochastic Global Optimization Search Techniques 

      Özdamar, Linet; Demirhan, M (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2000-08)
      In this paper several probabilistic search techniques are developed for global optimization under three heuristic classifications: simulated annealing, clustering methods and adaptive partitioning algorithms. The algorithms ...
    • FRACTOP: A Geometric Partitioning Metaheuristic for Global Optimization 

      Demirhan, M; Özdamar, Linet; Helvacıoğlu, L; Birbil, SI (KLUWER ACADEMIC PUBL, SPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS, 1999-06)
      We propose a new metaheuristic, FRACTOP, for global optimization. FRACTOP is based on the geometric partitioning of the feasible region so that search metaheuristics such as Simulated Annealing (SA), or Genetic Algorithms ...