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Advisor(s)
Abstract(s)
Solving systems of nonlinear equations is a problem of
particular importance since they emerge through the
mathematical modeling of real problems that arise naturally in
many branches of engineering and in the physical sciences. The
problem can be naturally reformulated as a global optimization
problem. In this paper, we show that a metaheuristic, called
Directed Tabu Search (DTS) [16], is able to converge to the
solutions of a set of problems for which the fsolve function of
MATLAB® failed to converge. We also show the effect of the
dimension of the problem in the performance of the DTS.
Description
Keywords
Nonlinear equations Metaheuristic Tabu search