An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints

DOI10.1007/s10589-017-9953-2zbMath1400.90269OpenAlexW2766881423MaRDI QIDQ1744880

Alessandra Papini, Marco Sciandrone, Guido Cocchi, Giampaolo Liuzzi

Publication date: 20 April 2018

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2158/1107716

zbMATH Keywords

derivative-free optimizationmultiobjective nonlinear programmingimplicit filtering

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (15)

Gradient and diagonal Hessian approximations using quadratic interpolation models and aligned regular bases ⋮ A discussion on variational analysis in derivative-free optimization ⋮ Using first-order information in direct multisearch for multiobjective optimization ⋮ An adaptive direct multisearch method for black-box multi-objective optimization ⋮ A concave optimization-based approach for sparse multiobjective programming ⋮ Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems ⋮ Conditional gradient method for vector optimization ⋮ A memetic procedure for global multi-objective optimization ⋮ Parallel strategies for direct multisearch ⋮ A limited memory quasi-Newton approach for multi-objective optimization ⋮ On the use of polynomial models in multiobjective directional direct search ⋮ DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization ⋮ MOIF ⋮ Derivative-free optimization methods ⋮ On the convergence of steepest descent methods for multiobjective optimization

Uses Software

• DFMO

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