Results 61 to 70 of about 363,713 (312)

Learning to Branch in Mixed Integer Programming

open access: yesAAAI Conference on Artificial Intelligence, 2016
The design of strategies for branching in Mixed Integer Programming (MIP) is guided by cycles of parameter tuning and offline experimentation on an extremely heterogeneous testbed, using the average performance.
Elias Boutros Khalil   +4 more
semanticscholar   +1 more source

Unbounded convex sets for non-convex mixed-integer quadratic programming [PDF]

open access: yes, 2014
This paper introduces a fundamental family of unbounded convex sets that arises in the context of non-convex mixed-integer quadratic programming.
Burer, Samuel, Letchford, Adam
core  

Mixed integer polynomial programming

open access: yesComputers & Chemical Engineering, 2015
AbstractThe mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which
openaire   +2 more sources

Terahertz Volume Plasmon‐Polariton Modulation in All‐Dielectric Hyperbolic Metamaterials

open access: yesAdvanced Optical Materials, EarlyView.
THz volume plasmon‐polariton (VPP) propagation through plasmon‐based hyperbolic metamaterials, made of alternating layers of doped and undoped III‐V semiconductors. Abstract The development of plasmonics and related applications in the terahertz range faces limitations due to the intrinsic high electron density of the standard metals.
Stefano Campanaro   +3 more
wiley   +1 more source

A simulation-optimization approach for integrating physical and financial flows in a supply chain under economic uncertainty

open access: yesOperations Research Perspectives, 2023
In the last decade, increasing costs and organizational concerns regarding the funding and allocation of financial resources have led to significant attention being given to financial flow and its effects on planning decisions throughout supply chain ...
Ehsan Badakhshan, Peter Ball
doaj   +1 more source

Performance Variability in Mixed-Integer Programming [PDF]

open access: yes, 2013
The performance of mixed-integer programming solvers is subject to some unexpected variability that appears, for example, when changing from one computing platform to another, when permuting rows and/or columns of a model, when adding seemingly neutral changes to the solution process, etc.
LODI, ANDREA, Andrea Tramontani
openaire   +2 more sources

Ultra‐Durable Information‐Encoded Anti‐Counterfeiting Self‐Assembled Nanocrystal Labels

open access: yesAdvanced Optical Materials, EarlyView.
Ultra‐durable cost‐effective information‐encoded anti‐counterfeiting labels are fabricated to secure semiconductor chips. A novel method is used to self‐assemble colloidal quantum wells (CQWs) into color bars. Information can be encoded spatially, spectrally, and opto‐spatially.
Taha Haddadifam   +6 more
wiley   +1 more source

Fast Mixed Integer Quadratic Programming for Sparse Signal Estimation

open access: yesIEEE Access, 2018
It has been recently shown that the $l_{0}$ -norm problem can be reformulated into a mixed integer quadratic programming (MIQP) problem. CPLEX, a commercial optimization software package that can solve integer programming problems, is used to find the ...
Sangjun Park, Heung-No Lee
doaj   +1 more source

Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization [PDF]

open access: yesMathematical programming, 2019
In this paper, we study multistage stochastic mixed-integer nonlinear programs (MS-MINLP). This general class of problems encompasses, as important special cases, multistage stochastic convex optimization with non-Lipschitzian value functions and ...
Shixuan Zhang, X. Sun
semanticscholar   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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