Results 11 to 20 of about 153,582,606 (300)

Algorithm of finding a set of Pareto on a final set of initial data

open access: yesЦифровая трансформация, 2017
A two-stage algorithm for solving the optimization task for finding the Pareto set on a given finite set of initial data N is proposed. A method is developed for finding a subset of dominated elements of the initial set N by constructing the Pareto ...
S. V. Chebakov, L. V. Serebryanaya
doaj   +4 more sources

Efficient Identification of the Pareto Optimal Set [PDF]

open access: yes, 2014
In this paper, we focus on expensive multiobjective optimization problems and propose a method to predict an approximation of the Pareto optimal set using classification of sampled decision vectors as dominated or nondominated. The performance of our method, called EPIC, is demonstrated on a set of benchmark problems used in the multiobjective ...
Ingrida Steponavice   +3 more
openaire   +2 more sources

Pareto Sums of Pareto Sets.

open access: yes, 2023
In bi-criteria optimization problems, the goal is typically to compute the set of Pareto-optimal solutions. Many algorithms for these types of problems rely on efficient merging or combining of partial solutions and filtering of dominated solutions in the resulting sets.
Demian Hespe   +3 more
openaire   +4 more sources

One-exact approximate Pareto sets [PDF]

open access: yesJournal of Global Optimization, 2020
AbstractPapadimitriou and Yannakakis (Proceedings of the 41st annual IEEE symposium on the Foundations of Computer Science (FOCS), pp 86–92, 2000) show that the polynomial-time solvability of a certain auxiliary problem determines the class of multiobjective optimization problems that admit a polynomial-time computable $$(1+\varepsilon , \dots , 1 ...
Arne Herzel   +4 more
openaire   +6 more sources

Enhancing Specific Stiffness of Nano-Architected Materials Through Generative AI and Active Learning. [PDF]

open access: yesAdv Sci (Weinh)
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Yeo J   +4 more
europepmc   +2 more sources

Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.

open access: yes, 2023
Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.
Chengjie Rao (16884149)   +4 more
core   +1 more source

Beliefs and Pareto Efficient Sets: A Remark [PDF]

open access: yesJournal of Economic Theory, 2002
We show that, in a two-period economy with uncertainty in the second period, if an allocation is Pareto optimal for a given set of beliefs and remains optimal when these beliefs are changed, then the set of optimal allocations of the two economies must actually coincide.
Gajdos Preuss, Thibault   +1 more
openaire   +4 more sources

Pareto-optimized solution set under preventive maintenance strategy at 1-inspection maintenance.

open access: yes, 2023
Pareto-optimized solution set under preventive maintenance strategy at 1-inspection maintenance.
Chengjie Rao (16884149)   +4 more
core   +1 more source

Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.

open access: yes, 2023
Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.
Chengjie Rao (16884149)   +4 more
core   +1 more source

A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization [PDF]

open access: yes, 2009
A method is presented for generating a well-distributed Pareto set in nonlinear multiobjective optimization. The approach shares conceptual similarity with the Physical Programming-based method, the Normal-Boundary Intersection and the Normal ...
Utyuzhnikov, S.V.; id_orcid   +5 more
core   +1 more source

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