Beliakov, Gleb and Ferrer, Albert 2010, Bounded lower subdifferentiability optimization techniques : applications, Journal of global optimization, vol. 47, no. 2, pp. 211-231, doi: 10.1007/s10898-009-9467-2.
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.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.