Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs ...
The main aim of the present paper is to introduce a semi-quasidifferentiability notion and to obtain optimality conditions, in nonsmooth nonconvex multiobjective optimization, in terms of semi-quasidifferentials. Some outcomes of the current work generalize important results given in the literature. Th...
(2017). Generalized asymptotic functions in nonconvex multiobjective optimization problems. Optimization: Vol. 66, International Seminar on Optimization and Related Areas This Special Issue of the Journal "Optimization" is dedicated to the "International Seminar on Optimization and Related Areas" (ISORA...
Multiobjective optimizationProximal bundle methodInexact informationFor a class of nonsmooth nonconvex multiobjective problems, we develop an inexact multiple proximal bundle method. In our approach instead of scalarization, we find descent direction for every objective function separately by utilizing the ...
2013. Trust region globalization strategy for the nonconvex uncon- strained multiobjective optimization problem: Global convergence analysis. Submitted for publica- tion.Gabriel A., Pablo A., Maria C. Trust Region Globalization Strat- egy for the Nonconvex Unconstrained Multi-objective Optimiza- tion ...
The volume also covers advanced subjects such as multiobjective mixed-integer nonlinear optimization and optimum statistical analysis on sphere surfaces. Contributions from eminent scholars provide a deep dive into C*-ternary biderivations, Erdős-Szekeres products, and variational principles, making this ...
of the topics covered in the series are nonlinear optimization, nonconvex network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, sub-optimal algorithms (e.g., simulated annealing, genetic algorithms, heuristics)...
Song. Distributed methods for constrained nonconvex multi-agent optimization-part I: theory. CoRR, abs/1410.4754, 2014.Distributed Methods for Constrained Nonconvex Multi-Agent Optimization-Part I:Theory. Scutari G,Facchinei F,Lampariello L, et al. . 2014...
Multi-Frequency Phase Synchronization (2019) On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization (2018) Near-optimal bounds for phase synchronization (2017) Message-passing algorithms for synchronization problems over compact groups (2016) On the low-rank approach for ...
Multi frame holograms batched optimization for binary phase spatial light modulators Introduction Holography is a long-existing concept first raised by Dennis Gabor in the late 1940s, which aimed at improving resolution in electron microscopy1. In the 1960s, the development of laser technology enabled...