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Multistart coupled with a derivative-free filter local search for locating multiple solutions

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Abstract(s)

A multistart technique coupled with a derivative-free lter local search algorithm for locating all the optimal solutions of a nonconvex constrained optimization is presented. To reach a fast convergence to the optimal solutions, the local search procedure is based on descent directions. The lter-set concept is introduced to handle the constraints of the problem. The generated direction vector is descent for the objective function if the sample point is feasible; otherwise, it is descent for the constraint violation. Numerical experiments with benchmark problems are reported and a comparison with other stochastic methods is included.

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Multistart Derivatives-free

Citation

Fernandes, Florbela P.; Pereira, Ana I.; Costa, Maria F.P.; Fernandes, Edite M.G.P. (2012). Multistart coupled with a derivative-free filter local search for locating multiple solutions. In EURO 2012. Vilnius -- Lituânia.

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The Association of European Operational Research Societies

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