[HTML][HTML] An algorithmic framework for convex mixed integer nonlinear programs
This paper is motivated by the fact that mixed integer nonlinear programming is an important
and difficult area for which there is a need for developing new methods and software for …
and difficult area for which there is a need for developing new methods and software for …
Mixed integer nonlinear programming tools: an updated practical overview
C D'Ambrosio, A Lodi - Annals of Operations Research, 2013 - Springer
Mixed integer nonlinear programming tools: an updated practical overview | SpringerLink Skip
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Non-convex mixed-integer nonlinear programming: A survey
S Burer, AN Letchford - Surveys in Operations Research and Management …, 2012 - Elsevier
A wide range of problems arising in practical applications can be formulated as Mixed-
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …
Algorithms and software for convex mixed integer nonlinear programs
This paper provides a survey of recent progress and software for solving convex Mixed
Integer Nonlinear Programs (MINLP) s, where the objective and constraints are defined by …
Integer Nonlinear Programs (MINLP) s, where the objective and constraints are defined by …
[图书][B] Convexification and global optimization in continuous and mixed-integer nonlinear programming: theory, algorithms, software, and applications
M Tawarmalani, NV Sahinidis - 2013 - books.google.com
Interest in constrained optimization originated with the simple linear pro gramming model
since it was practical and perhaps the only computationally tractable model at the time …
since it was practical and perhaps the only computationally tractable model at the time …
FilMINT: An outer approximation-based solver for convex mixed-integer nonlinear programs
K Abhishek, S Leyffer… - INFORMS Journal on …, 2010 - pubsonline.informs.org
We describe a new solver for convex mixed-integer nonlinear programs (MINLPs) that
implements a linearization-based algorithm. The solver is based on an algorithm of …
implements a linearization-based algorithm. The solver is based on an algorithm of …
[PDF][PDF] Mixed-integer nonlinear programming
MR Bussieck, A Pruessner - SIAG/OPT Newsletter: Views & News, 2003 - Citeseer
Recently, the area of Mixed Integer Nonlinear Programming (MINLP) has experienced
tremendous growth and a flourish of research activity. In this article we will give a brief …
tremendous growth and a flourish of research activity. In this article we will give a brief …
Using Piecewise Linear Functions for Solving MINLPs
In this chapter we want to demonstrate that in certain cases general mixed integer nonlinear
programs (MINLPs) can be solved by just applying purely techniques from the mixed integer …
programs (MINLPs) can be solved by just applying purely techniques from the mixed integer …
Heuristics for convex mixed integer nonlinear programs
P Bonami, JPM Gonçalves - Computational Optimization and Applications, 2012 - Springer
In this paper, we describe the implementation of some heuristics for convex mixed integer
nonlinear programs. The work focuses on three families of heuristics that have been …
nonlinear programs. The work focuses on three families of heuristics that have been …
Integrating SQP and branch-and-bound for mixed integer nonlinear programming
S Leyffer - Computational optimization and applications, 2001 - Springer
This paper considers the solution of Mixed Integer Nonlinear Programming (MINLP)
problems. Classical methods for the solution of MINLP problems decompose the problem by …
problems. Classical methods for the solution of MINLP problems decompose the problem by …