Results 1 to 10 of about 20,451 (264)

On the reduced-set pareto-lipschitzian optimization

open access: yesComputational Science and Techniques, 2013
A well-known example of global optimization that provides solutions within fixed error limits is optimization of functions with a known Lipschitz constant. In many real-life problems this constant is unknown.
Jonas Mockus, Remigijus Paulavičius
doaj   +3 more sources

On the invariance of the Pareto optimal set [PDF]

open access: yesComputer Science Journal of Moldova, 1993
In the previous paper presented at the 11th SOR, Darmstadt 1986, the authors had shown that the Pareto optimal set of a multicriteria problem remains invariable if on the objective vector function operates a strictly monotone operator of strictly ...
Vincentiu Dumitru, Florica Luban
doaj   +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   +4 more sources

On Pareto Set for a Bi-criterion Scheduling Problem Under Fuzziness [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2021
In this paper a bi-criterion fuzzy scheduling problem was presented and the problem under consideration is total fuzzy completion time and maximum earliness, where the processing times and the due dates are triangular fuzzy numbers.
Ayad Ramadan
doaj   +1 more source

Multi-objective automatic optimization of crystallography beamline based on NSGA-II

open access: yesHe jishu, 2021
BackgroundThe beam quality determined by the beamline status greatly affects the experimental results of macromolecular X-ray crystallography (MX). At present, the optimization of the crystallography beamline of Shanghai Synchrotron Radiation Facility ...
ZHANG Ding   +5 more
doaj   +1 more source

Method of Achieving the Goal on a Graph Model with Two Quality Criteria

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2023
The features of the construction and application of graph models for solving applied problems are considered. A graph model with two quality criteria is proposed, on which the search for optimal paths between given graph vertices is performed.
S. V. Chebakov, L. V. Serebryanaya
doaj   +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

Finding algorithm of optimal subset structure based on the Pareto layers in the knapsack problem

open access: yesЖурнал Белорусского государственного университета: Математика, информатика, 2020
An algorithm is developed for finding the structure of the optimal subset in the knapsack problem based on the proposed multicriteria optimization model.
Sergey V. Chebakov   +1 more
doaj   +1 more source

Heat transfer enhancement in micro heat exchangers using genetic algorithm based multi-objective optimization [PDF]

open access: yesمجله مدل سازی در مهندسی, 2019
In this study, the optimization of heat transfer in serpentine micro heat exchangers using the genetic algorithm based multi-objective optimization was investigated.
Reza Beigzadeh
doaj   +1 more source

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