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 …
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Mixed-integer nonlinear optimization
Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …
[PDF][PDF] Solving mixed-integer quadratic programming problems with IBM-CPLEX: a progress report
Solving Mixed-Integer Quadratic Programming problems with IBM-CPLEX: a progress report
Page 1 Proceedings of the Twenty-Sixth RAMP Symposium Hosei University, Tokyo, October …
Page 1 Proceedings of the Twenty-Sixth RAMP Symposium Hosei University, Tokyo, October …
[图书][B] Global optimization: theory, algorithms, and applications
M Locatelli, F Schoen - 2013 - SIAM
The first systematic overviews on global optimization appeared in 1975–1978 thanks to two
fundamental volumes titled Towards Global Optimization (Dixon & Szegö, 1975, 1978). At …
fundamental volumes titled Towards Global Optimization (Dixon & Szegö, 1975, 1978). At …
Generalized decision rule approximations for stochastic programming via liftings
Stochastic programming provides a versatile framework for decision-making under
uncertainty, but the resulting optimization problems can be computationally demanding. It …
uncertainty, but the resulting optimization problems can be computationally demanding. It …
[图书][B] Electrical transmission system cascades and vulnerability: an operations research viewpoint
D Bienstock - 2015 - SIAM
This monograph explores mathematical issues related to vulnerability analysis of power
grids, with a focus on optimization methods. The target audience is primarily made up of …
grids, with a focus on optimization methods. The target audience is primarily made up of …
An adaptive, multivariate partitioning algorithm for global optimization of nonconvex programs
H Nagarajan, M Lu, S Wang, R Bent… - Journal of Global …, 2019 - Springer
In this work, we develop an adaptive, multivariate partitioning algorithm for solving
nonconvex, Mixed-Integer Nonlinear Programs (MINLPs) with polynomial functions to global …
nonconvex, Mixed-Integer Nonlinear Programs (MINLPs) with polynomial functions to global …
Some results on the strength of relaxations of multilinear functions
We study approaches for obtaining convex relaxations of global optimization problems
containing multilinear functions. Specifically, we compare the concave and convex …
containing multilinear functions. Specifically, we compare the concave and convex …
[HTML][HTML] (Global) optimization: historical notes and recent developments
M Locatelli, F Schoen - EURO Journal on Computational Optimization, 2021 - Elsevier
Abstract Recent developments in (Global) Optimization are surveyed in this paper. We
collected and commented quite a large number of recent references which, in our opinion …
collected and commented quite a large number of recent references which, in our opinion …