Results 111 to 120 of about 8,892,749 (345)

Making Robust Decisions in Discrete Optimization Problems as a Game against Nature [PDF]

open access: yes
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  

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

open access: yesAdvanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe   +6 more
wiley   +1 more source

New techniques for discrete optimization [PDF]

open access: yesConstraints, 2015
Objective function bounds are critical to solving discrete optimization problems. In this thesis, we explore several new techniques for obtaining bounds, and also describe a new branch-andbound algorithm for discrete optimization problems. The first area explored is the application of decision diagrams (DDs) to binary optimization problems.
openaire   +1 more source

Time and nodal decomposition with implicit non-anticipativity constraints in dynamic portfolio optimization [PDF]

open access: yes
We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem.
Elio Canestrelli, Diana Barro
core  

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

open access: yesAdvanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin   +12 more
wiley   +1 more source

A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization

open access: yesAlgorithms
Quantum computing has opened up various opportunities for the enhancement of computational power in the coming decades. We can design algorithms inspired by the principles of quantum computing, without implementing in quantum computing infrastructure. In
Azal Ahmad Khan   +2 more
doaj   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

open access: yesAdvanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel   +2 more
wiley   +1 more source

Multi-Period Asset Allocation: An Application of Discrete Stochastic Programming [PDF]

open access: yes
The issue of modeling farm financial decisions in a dynamic framework is addressed in this paper. Discrete stochastic programming is used to model the farm portfolio over the planning period.
Larsen, Ryan A.   +2 more
core  

Rotary 3D Printing With Integrated Electroplating

open access: yesAdvanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria   +5 more
wiley   +1 more source

Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets

open access: yesEnergies, 2015
This paper develops a discrete operation optimization model for combined heat and powers (CHPs) in deregulated energy markets to maximize owners’ profits, where energy price forecasting is included. First, a single input and multi-output (SIMO) model for
Chenghong Gu   +4 more
doaj   +1 more source

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