Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16172
Title: Visualization and genetic algorithms in Minimax Theory for nonlinear functional
Authors: Liu, X
Frazer, J
Tang, MX 
Keywords: Genetic algorithm
Minimax theory
Nonlinear
Visualization
Issue Date: 2003
Publisher: Springer
Source: Journal of scientific computing, 2003, v. 18, no. 1, p. 49-68 How to cite?
Journal: Journal of scientific computing 
Abstract: In this paper, evolution and visualization of the existence of saddle points of nonlinear functionals or multi-variable functions in finite dimensional spaces are presented. New algorithms are developed based on the mountain pass lemma and link thery in nonlinear analysis. Further more, a simple comparison of the steepest descent algorithm and the genetic algorithm is given. The process of the saddle point finding is visualised in an inteactive graphical interface.
URI: http://hdl.handle.net/10397/16172
ISSN: 0885-7474
DOI: 10.1023/A:1020334127827
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