Application of global optimization methods to evaluation of chemical reaction terms in reactive solute transport analysis

K. Nakagawa, K. Momii, S. Wada, K. Jinno

Research output: Contribution to journalArticlepeer-review

Abstract

Two global optimization methods based on Genetic Algorithms (GA) and Shuffled Complex Evolution (SCE-UA) method were examined to evaluate reaction terms in a reactive solute transport model involving cation exchange reactions. Although the both algorithms can minimize the objective function after succession of generations, SCE-UA method appears superior to GA in that its performance depends less on the selection of the parameter set. Moreover, GA case tends to fail to find best chemical reaction terms. In both algorithms, global optimum sought four times for each step, with narrowed search range for the efficient use of the algorithms.

Original languageEnglish
Pages (from-to)467-471
Number of pages5
JournalActa Universitatis Carolinae, Geologica
Volume46
Issue number2-3
Publication statusPublished - 2002

All Science Journal Classification (ASJC) codes

  • Geology

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