Results 51 to 60 of about 159,874 (284)

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

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  

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 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

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

Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics

open access: yesAdvanced Science, EarlyView.
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet   +8 more
wiley   +1 more source

STUDI PERBANDINGAN PERFORMANCE ALGORITMA HEURISTIK POUR TERHADAP MIXED INTEGER PROGRAMMING DALAM MENYELESAIKAN PENJADWALAN FLOWSHOP

open access: yesJurnal Teknik Industri, 2004
This paper presents a study about new heuristic algorithm performance compared to Mixed Integer Programming (MIP) method in solving flowshop scheduling problem to reach minimum makespan.
Tessa Vanina Soetanto   +2 more
doaj  

A Heuristic for a Mixed Integer Program using the Characteristic Equation Approach [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2017
While most linear programming (LP) problems can be solved in polynomial time, pure and mixed integer problems are NP-hard and there are no known polynomial time algorithms to solve these problems.
Philimon Nyamugure   +3 more
doaj   +1 more source

Deep Space Network Scheduling via Mixed-Integer Linear Programming

open access: yesIEEE Access, 2021
NASA’s Deep Space Network (DSN) is a globally-spanning communications network responsible for supporting the interplanetary spacecraft missions of NASA and other international users. The DSN is a highly utilized asset, and the large demand for its&
Alex Sabol   +3 more
doaj   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

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