Results 101 to 110 of about 7,312,623 (249)
A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply. [PDF]
Wang X, Jiang R, Qi M.
europepmc +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
THe Use of the Box Step Method in Discrete Optimization [PDF]
The Boxstep method is used to maximize Lagrangean functions in the context of a branch-and-bound algorithm for the general discrete optimization problem.
Roy E. Marsten
core
Cognitive Control as a Multivariate Optimization Problem. [PDF]
Ritz H, Leng X, Shenhav A.
europepmc +1 more source
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn +5 more
wiley +1 more source
Well-posed Vector Optimization Problems and Vector Variational Inequalities [PDF]
In this paper we introduce notions of well-posedness for a vector optimization problem and for a vector variational inequality of differential type, we study their basic properties and we establish the links among them.
Rocca Matteo
core
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Making Robust Decisions in Discrete Optimization Problems as a Game against Nature [PDF]
In this paper a discrete optimization problem under uncertainty is discussed. Solving such a problem can be seen as a game against nature. In order to choose a solution, the minmax and minmax regret criteria can be applied.
Adam Kasperski
core
Semivectorial Bilevel Optimization Problem: Penalty Approach
We consider a bilevel optimization problem where the upper level is a scalar optimization problem and the lower level is a vector optimization problem. For the lower level, we deal with weakly efficient solutions. We approach our problem using a suitable
BONNEL H, MORGAN, JACQUELINE
core +1 more source
Disease control as an optimization problem. [PDF]
Navascués M, Budroni C, Guryanova Y.
europepmc +1 more source

