Results 1 to 10 of about 158,007 (285)

Optimal training of integer-valued neural networks with mixed integer programming [PDF]

PLoS ONE, 2023
Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NNs). However the intriguing approach of training NNs with MIP solvers is under-explored.
Tómas Thorbjarnarson, Neil Yorke-Smith
doaj   +3 more sources

A parametric integer programming algorithm for bilevel mixed integer programs [PDF]

Journal of Optimization Theory and Applications, 2009
We consider discrete bilevel optimization problems where the follower solves an integer program with a fixed number of variables. Using recent results in parametric integer programming, we present polynomial time algorithms for pure and mixed integer ...
A. Barvinok, A. Chinchuluun, A. Migdalas, A. Migdalas, A. Schrijver, B. Colson, C. T. Ryan, F. Eisenbrand, F.A. Al-Khayyal, H.W. Lenstra Jr., J. Moore, J.-P. Cote, K. Fischer, L. Vicente, M. Köppe, M. Labbe, M. Queyranne, R. Kannan, S. Dempe, S. Dempe, S. Kwek, X. Deng, Y. Marinakis, Z.H. Gumus   +23 more
core   +9 more sources

Comparative Network Reconstruction using mixed integer programming. [PDF]

Bioinformatics, 2018
Abstract Motivation Signal-transduction networks are often aberrated in cancer cells, and new anti-cancer drugs that specifically target oncogenes involved in signaling show great clinical promise.
Bosdriesz E, Prahallad A, Klinger B, Sieber A, Bosma A, Bernards R, Blüthgen N, Wessels LFA.   +7 more
europepmc   +6 more sources

Mixed Integer Linear Programming Formulation Techniques [PDF]

SIAM Review, 2014
A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art ...
Vielma, Juan Pablo
core   +5 more sources

A multi-objective multi-period mathematical programming model for integrated project portfolio optimization and contractor selection [PDF]

MethodsX
This paper addresses the challenges of project portfolio optimization and contractor selection through two proposed scenarios. In the first scenario, two separate mixed-integer mathematical programming models are presented: one for project portfolio ...
Mostafa Zahedirad, Kaveh Khalili-Damghani, Vahidreza Ghezavati, Alireza Rashidi Komijan   +3 more
doaj   +2 more sources

Applications of Stochastic Mixed-Integer Second-Order Cone Optimization

IEEE Access, 2022
Second-order cone programming problems are a tractable subclass of convex optimization problems that can be solved using polynomial algorithms. In the last decade, stochastic second-order cone programming problems have been studied, and efficient ...
Baha Alzalg, Hadjer Alioui
doaj   +1 more source

Integration of P-hub Location Problem and 3M Supply Chain [PDF]

International Journal of Supply and Operations Management, 2019
The present study proposes an integrated model for hub location problem in a Multi-location, Multi-period, Multi-commodity (3M), three echelon supply chain. The problem is formulated as a mixed integer programming model and solved using GAMS software. As
M.B. Fakhrzad, Amir Shafiei Alavijeh, H. Hossaini Nasab, A. Mostafaeipour   +3 more
doaj   +2 more sources

Exact solution approaches for the workload smoothing in assembly lines

Engineering Science and Technology, an International Journal, 2021
In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer
Derya Dinler, Mustafa Kemal Tural
doaj   +1 more source

Integer set reduction for stochastic mixed-integer programming

Computational Optimization and Applications, 2023
Two-stage stochastic mixed-integer programming (SMIP) problems with general integer variables in the second-stage are generally difficult to solve. This paper develops the theory of integer set reduction for characterizing the subset of the convex hull of feasible integer points of the second-stage subproblem which can be used for solving the SMIP. The
Saravanan Venkatachalam, Lewis Ntaimo
openaire   +2 more sources

Mixed integer programming

Discrete Optimization, 2007
With a growing percentage of elderly or disabled people in our society, the number of people not being able to drive a car themselves, or even to go by bus, increases, too. Specific services are required to address mobility demands, and dial-a-ride systems have been developed to provide an appropriate answer.
Lee, Jon, Letchford, Adam N.
openaire   +2 more sources