Speaker
Prof.
Fliege Joerg
(University of Southampton)
Description
We propose an SQP type method for constrained nonlinear multiobjective optimization. The proposed algorithm maintains a list of nondominated points that is improved both for spread along the Pareto front and optimality by solving single-objective constrained optimization problems. We provide numerical results for some trajectory optimisation problems as well as for a test set of unconstrained and constrained multiobjective optimization problems. The numerical results confirm the superiority of the proposed algorithm against a state-of-the-art multiobjective solver, either in the quality of the approximated Pareto front or in the computational effort necessary to compute the approximation. Moreover, we discuss convergence to local optimal Pareto points under appropriate differentiability assumptions
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Primary author
Prof.
Fliege Joerg
(University of Southampton)
Co-author
Prof.
A. Ismael Vaz
(Universidade do Minho)
