Multiextremal optimization for calibrating water resources models

J. Pinter, J. Szabo, L. Somlyody

Research output: Contribution to journalArticle

8 Citations (Scopus)


A general class of globally convergent, derivative-free optimization procedures is presented for solving multiextremal parameter estimation problems. Following a brief description of the underlying theory, some important numerical aspects are treated. The methodology is illustrated by calibrating a model which describes an important process of artificial eutrophication, viz. wind induced sediment resuspension in shallow lakes.

Original languageEnglish
Pages (from-to)98-105
Number of pages8
JournalEnvironmental Software
Issue number2
Publication statusPublished - Sep 1986


  • Convergence and numerical efficiency
  • Eutrophication
  • Global optimization methods
  • Model calibration
  • Multiextremality
  • Sediment-water interaction

ASJC Scopus subject areas

  • Computer Science(all)
  • Environmental Science(all)

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