In this article we develop a global optimization algorithm for quasiconvex programming where the objective function is a Lipschitz function which may have "flat parts". We adapt the Extended Cutting Angle method to quasiconvex functions, which reduces significantly the number of iterations and objective function evaluations, and consequently the total computing time. Applications of such an algorithm to mathematical programming problems inwhich the objective function is derived from economic systems and location problems are described. Computational results are presented.
Published online: 17 September 2009
Field of Research
010301 Numerical Analysis 010303 Optimisation
Socio Economic Objective
970101 Expanding Knowledge in the Mathematical Sciences
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