On Parameterizing Models of Antigen-Antibody Binding Dynamics on Surfaces – A Genetic Algorithm Approach and the Need for Speed

Daniel J. Burns¹ and Kevin T. May²

¹Air Force Research Laboratory, Information Directorate, Rome, NY 13440 USA
burnds@rl.af.mil

²Department of Computer Engineering, Clarkson University, Potsdam, NY, USA 47907
mayk@clarkson.edu

Abstract. This paper discusses the performance of a simple GA for parameterizing a particular biomodel consisting of a set of coupled non-linear ordinary differential equations. Comments are offered on the need for speed that motivates choice of language and processing platform for solving scaled problems.

LNCS 3102, p. 497 f.

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